{"id":"W4365142239","doi":"10.1515/iupac.94.0280","title":"Binding Site","year":2023,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Various Chemistry Research Topics","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Glossary; Terminology; Meaning (existential); Abandonment (legal); Field (mathematics); Computer science; Chemistry; Epistemology; Linguistics; Philosophy; Mathematics; 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":[0.00107249,0.002785737,0.002164823,0.003674607,0.001879682,0.003273904,0.003536086,0.002669956,0.2067454],"category_scores_gemma":[0.00575554,0.0009830503,0.001558526,0.005695412,0.0005052663,0.002403064,0.002561839,0.003142652,0.3773105],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001595092,"about_ca_system_score_gemma":0.002627522,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02269806,"about_ca_topic_score_gemma":0.04995505,"domain_scores_codex":[0.9987327,0.0002006302,0.0001379526,0.0004745543,0.0002795693,0.0001745021],"domain_scores_gemma":[0.9979894,0.0005215951,0.0001778201,0.0006173042,0.0004589131,0.0002349408],"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":[0.0000634638,0.00001700956,0.0003562323,0.0005122009,0.00001505992,0.00001827649,0.00001876797,0.0001002484,0.0002019258,0.0004811347,0.9959913,0.002224509],"study_design_scores_gemma":[0.0001122379,0.00001620409,0.001938885,0.0002642778,0.00002637288,0.0000807359,0.00005066765,0.000207194,0.0003635975,0.002151642,0.9947559,0.00003244165],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00008328068,0.0001376972,0.0001193676,0.00006289108,0.00003364202,0.00001402157,0.9974375,0.0004956044,0.001616003],"genre_scores_gemma":[0.0001723672,0.00006847585,0.0002744138,0.00009656873,0.000006112972,0.00005423068,0.9983734,0.00009698756,0.0008574073],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2067454,"threshold_uncertainty_score":0.6916322,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02630070066189576,"score_gpt":0.4262003070592313,"score_spread":0.3998996063973356,"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."}}