{"id":"W4365147957","doi":"10.1515/iupac.94.0514","title":"Halogen Bond","year":2023,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"History and advancements in chemistry","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Glossary; Terminology; Meaning (existential); Abandonment (legal); Chemistry; Computer science; Epistemology; Linguistics; Philosophy; Political 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006157013,0.002069491,0.001580029,0.002997891,0.001128778,0.002365147,0.002467719,0.001485282,0.1507398],"category_scores_gemma":[0.003551318,0.0006697518,0.001570847,0.004793311,0.0003367192,0.002443045,0.001822453,0.001987494,0.2069723],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00126402,"about_ca_system_score_gemma":0.001842972,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01872486,"about_ca_topic_score_gemma":0.03958242,"domain_scores_codex":[0.9991892,0.0001010977,0.00009796349,0.000289581,0.0002113466,0.0001108665],"domain_scores_gemma":[0.9988539,0.0002786045,0.0001579534,0.0003157897,0.0003023382,0.00009133432],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001151114,0.0000232628,0.0008708159,0.001394278,0.0000317436,0.00003208943,0.00002245829,0.000272032,0.0004352525,0.0008839997,0.9880728,0.007846044],"study_design_scores_gemma":[0.00008835812,0.0000212093,0.003753909,0.0003877619,0.00003228988,0.00007942336,0.00005643115,0.0003413647,0.0006530281,0.00248663,0.9920635,0.00003618634],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002862902,0.0004328146,0.0001985368,0.00007813837,0.00005806451,0.00002366573,0.9949318,0.0005099822,0.003480831],"genre_scores_gemma":[0.0006063156,0.000363943,0.000502593,0.0001070032,0.00001439053,0.00008111174,0.9960526,0.0001219437,0.002150074],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1507398,"threshold_uncertainty_score":0.504275,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01843970046853723,"score_gpt":0.3982309794321847,"score_spread":0.3797912789636474,"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."}}