{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000155832,0.0002827363,0.000632793,0.00002430682,0.00006433687,0.00003860963,0.0004569479,0.0003540142,0.01007662],"category_scores_gemma":[0.0006568275,0.000264998,0.0001148615,0.0002658745,0.00008834475,0.0001612714,0.0001419298,0.000272558,0.0001574607],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003678556,"about_ca_system_score_gemma":0.00005828689,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001364787,"about_ca_topic_score_gemma":5.926186e-7,"domain_scores_codex":[0.9982018,0.00001734563,0.0006838137,0.0004851157,0.0002997,0.0003122397],"domain_scores_gemma":[0.9985632,0.0001648597,0.0004091585,0.0005803891,0.0001242136,0.0001582079],"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":[0.00003718646,0.00007703055,0.000005409869,0.0001473473,0.00007960093,0.000001092294,0.0001638698,0.00002410043,0.9963275,0.002081566,0.0002032594,0.0008520356],"study_design_scores_gemma":[0.0003579295,0.00001532534,0.00002561735,0.0001021883,0.00007654985,0.00000238992,0.0002668131,0.00001310733,0.9842216,0.001256581,0.01339235,0.0002695316],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9930053,0.0006792278,0.003420925,0.0005660635,0.0002378517,0.0001636167,0.0003198295,0.0001795091,0.001427678],"genre_scores_gemma":[0.9857216,0.0002595489,0.01269413,0.0007471968,0.0001825746,0.00006786628,0.00004408143,0.00008003854,0.0002029638],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01318909,"threshold_uncertainty_score":0.9999802,"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."}}