{"id":"W4307843081","doi":"10.1021/acs.inorgchem.2c02898","title":"Low-Dimensional Magnetism in Multivariate Copper/Zinc MOF-74 Materials Formed via Different Mechanochemical Methods","year":2022,"lang":"en","type":"article","venue":"Inorganic Chemistry","topic":"Metal-Organic Frameworks: Synthesis and Applications","field":"Chemistry","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"European Regional Development Fund; Hrvatska Zaklada za Znanost; Narodowe Centrum Nauki; Javna Agencija za Raziskovalno Dejavnost RS; Narodowa Agencja Wymiany Akademickiej; Deutscher Akademischer Austauschdienst; Ministarstvo znanosti i obrazovanja","keywords":"Chemistry; Magnetism; Zinc; Copper; Magnetization; Electron paramagnetic resonance; Antiferromagnetism; Powder diffraction; Ferromagnetism; Spectroscopy; Crystallography; Bimetallic strip; Infrared spectroscopy; Fourier transform infrared spectroscopy; Metal; Nuclear magnetic resonance; Chemical engineering; Condensed matter physics; Magnetic field; Organic chemistry","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006839971,0.0001998657,0.000133505,0.0002765637,0.000157829,0.0001979868,0.0001704965,0.0001590276,0.0005477946],"category_scores_gemma":[0.0001227101,0.0001183199,0.0001127816,0.0001819296,0.000217207,0.0001101174,0.0001276463,0.0001915093,0.00007341716],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000339862,"about_ca_system_score_gemma":0.0001411728,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001803072,"about_ca_topic_score_gemma":0.002489595,"domain_scores_codex":[0.9999119,0.000006397845,0.000005204209,0.00002027171,0.00003207038,0.00002405645],"domain_scores_gemma":[0.9999583,0.000006166109,0.00001483467,0.000004978432,0.000007776685,0.000008059089],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00006140247,0.000009957128,0.0003256099,0.00004189877,0.000008721363,0.00004517989,0.00002132031,0.0002279958,0.9978866,0.0001488221,0.00002335169,0.001199192],"study_design_scores_gemma":[0.00000769505,0.00006699755,0.003034398,0.000002452482,0.000009941851,0.00006347376,0.00001743974,0.0009576294,0.9952465,0.0000175987,0.0005707225,0.000005228107],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9989218,0.0001727296,0.0004139821,0.000007701894,0.000002978332,0.000003348028,0.00003806056,0.00001911883,0.0004203656],"genre_scores_gemma":[0.9989303,0.0000797203,0.0006799581,0.000003943674,0.000001501975,0.000004989175,0.00003790556,0.000004611483,0.000257056],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001803072,"threshold_uncertainty_score":0.003585219,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01359679871360812,"score_gpt":0.2686810445941749,"score_spread":0.2550842458805667,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}