{"id":"W4365147140","doi":"10.1515/iupac.94.0679","title":"Molecular Recognition","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; 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":[0.0009226051,0.004252034,0.002182043,0.003837878,0.001576021,0.003326775,0.00498287,0.002938276,0.1333306],"category_scores_gemma":[0.004396703,0.0007807717,0.002118933,0.005097018,0.0004902726,0.002747497,0.002939144,0.003039602,0.3186727],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001599151,"about_ca_system_score_gemma":0.002293039,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02071541,"about_ca_topic_score_gemma":0.04549163,"domain_scores_codex":[0.9986134,0.0001841733,0.0001516042,0.0004741106,0.0003625213,0.0002141633],"domain_scores_gemma":[0.9986519,0.0002344008,0.00009698678,0.0005365165,0.0003432605,0.0001369462],"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":[0.00004995754,0.0000224114,0.0002428249,0.0005412335,0.00001879535,0.0000220479,0.00001154739,0.0001888883,0.0002659047,0.0004583205,0.9907616,0.007416519],"study_design_scores_gemma":[0.0001007664,0.00002820192,0.001617312,0.0002904495,0.00002800797,0.0001318978,0.00005479821,0.0008244637,0.0008615396,0.002228372,0.9937969,0.00003724528],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002270678,0.0004331817,0.0004156181,0.0001269922,0.0001069495,0.00003819195,0.9925937,0.002504279,0.003554041],"genre_scores_gemma":[0.0002462972,0.0001269991,0.0006420758,0.00009102209,0.00000781492,0.00005958426,0.9973712,0.0001050458,0.001350062],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1333306,"threshold_uncertainty_score":0.4460353,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02838942984735442,"score_gpt":0.4158825544007299,"score_spread":0.3874931245533754,"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."}}