{"id":"W2161992565","doi":"10.1002/chem.201403815","title":"New Classes of Ferromagnetic Materials with Exclusively End‐on Azido Bridges: From Single‐Molecule Magnets to 2 D Molecule‐Based Magnets","year":2014,"lang":"en","type":"article","venue":"Chemistry - A European Journal","topic":"Magnetism in coordination complexes","field":"Materials Science","cited_by":28,"is_retracted":false,"has_abstract":true,"ca_institutions":"Brock University","funders":"","keywords":"Magnet; Ferromagnetism; Molecular magnets; Molecule; Materials science; Polymer; Metal; Bridging (networking); Bridging ligand; Single-molecule magnet; Ligand (biochemistry); Nanotechnology; Crystallography; Chemical physics; Condensed matter physics; Chemistry; Magnetic field; Physics; Magnetization; Composite material; Metallurgy; Organic chemistry; Computer science","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0007458116,0.0004935406,0.0005329049,0.0001155618,0.0002083697,0.0005336817,0.001162179,0.0000682092,0.0177875],"category_scores_gemma":[0.0005262936,0.0004458963,0.0001026832,0.0002359492,0.0001798523,0.000156768,0.0002333685,0.000263057,0.0003913041],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001001659,"about_ca_system_score_gemma":0.0002056442,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005250162,"about_ca_topic_score_gemma":0.000003940663,"domain_scores_codex":[0.9963298,0.0006054373,0.0008726539,0.0007074513,0.0008939136,0.0005906789],"domain_scores_gemma":[0.9973969,0.0002241008,0.000673275,0.0007546621,0.0003329725,0.0006180848],"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":[0.0003005914,0.0001365341,0.00002515311,0.00007519579,0.000009910411,0.000238085,0.0001154135,0.0008698794,0.9896142,0.000013256,0.006186781,0.002415039],"study_design_scores_gemma":[0.001870064,0.001585687,0.003396869,0.0003959206,0.00005673095,0.0002177444,0.00004749629,0.0005614585,0.9849522,0.00006464573,0.006310095,0.0005410791],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9656869,0.0000913841,0.0164924,0.0009999885,0.0003571498,0.0002042676,0.000119208,0.0001123924,0.01593638],"genre_scores_gemma":[0.9716632,0.000004372094,0.02506071,0.0006712264,0.0007592364,0.000005942542,0.00003381841,0.0001141984,0.001687348],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0173962,"threshold_uncertainty_score":0.9997993,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01714526385098777,"score_gpt":0.2249559048879392,"score_spread":0.2078106410369514,"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."}}