{"id":"W3023666578","doi":"10.1002/adma.202000474","title":"Phosphonate Metal–Organic Frameworks: A Novel Family of Semiconductors","year":2020,"lang":"en","type":"article","venue":"Advanced Materials","topic":"Metal-Organic Frameworks: Synthesis and Applications","field":"Chemistry","cited_by":54,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; Deutsche Forschungsgemeinschaft; Deutscher Akademischer Austauschdienst; Western Canada Research Grid; Compute Canada","keywords":"Phosphonate; Materials science; Zigzag; Semiconductor; Dimer; Band gap; Copper; Metal-organic framework; Crystallography; Density functional theory; Chemical physics; Condensed matter physics; Nanotechnology; Physical chemistry; Computational chemistry; Optoelectronics; Chemistry; Organic chemistry; Adsorption","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0000310967,0.0002544321,0.0001231517,0.0002198089,0.0001816805,0.0003188331,0.0003219165,0.0002245623,0.0005867265],"category_scores_gemma":[0.00006177319,0.00008141771,0.0001173225,0.0001531896,0.0001571167,0.0002550446,0.0001848422,0.0001252087,0.0001286623],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004108452,"about_ca_system_score_gemma":0.0001880619,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001001701,"about_ca_topic_score_gemma":0.002583615,"domain_scores_codex":[0.9999559,0.000002839831,0.000001740096,0.00001073624,0.00001523466,0.00001345274],"domain_scores_gemma":[0.9999834,0.000001554839,0.000004649567,0.000001350937,0.000002349063,0.000006622],"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":[0.00008935287,0.00003759674,0.0007677357,0.0002974676,0.00003700835,0.000691596,0.00006353815,0.001675503,0.9484274,0.008079098,0.0009242688,0.03890955],"study_design_scores_gemma":[0.00002807064,0.0003394237,0.004075533,0.00002915807,0.00006278072,0.002609886,0.00006637584,0.006847396,0.882602,0.001172643,0.1021221,0.0000445815],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9554968,0.01441996,0.01274393,0.0002886503,0.0001166907,0.00005261598,0.0004054535,0.0004282051,0.01604776],"genre_scores_gemma":[0.9878401,0.002386783,0.006411546,0.00004726735,0.00001435928,0.00001440292,0.0001438999,0.00001096794,0.003130695],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001001701,"threshold_uncertainty_score":0.002980888,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02041027640184047,"score_gpt":0.245978683815971,"score_spread":0.2255684074141305,"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."}}