{"id":"W4365147130","doi":"10.1515/iupac.94.0734","title":"Polar Effect","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":[0.0008212932,0.003029599,0.001710044,0.00293816,0.001425859,0.002712692,0.003346229,0.002019193,0.1192686],"category_scores_gemma":[0.00313863,0.000715105,0.001787715,0.004277152,0.0004706254,0.002357156,0.002621522,0.002411,0.2586702],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001243311,"about_ca_system_score_gemma":0.001795685,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01965271,"about_ca_topic_score_gemma":0.04902668,"domain_scores_codex":[0.9990072,0.000159454,0.00009730621,0.0003329176,0.0002558956,0.0001472168],"domain_scores_gemma":[0.9989256,0.0002264431,0.00009276452,0.0003842801,0.0002689486,0.0001018262],"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":[0.00008279166,0.00002556085,0.000388665,0.0005525135,0.00002149121,0.00002283477,0.0000161549,0.0002295029,0.0002570931,0.0006301744,0.9927055,0.00506762],"study_design_scores_gemma":[0.000131318,0.00002255904,0.002342195,0.00025819,0.00002652551,0.0001018339,0.00005875341,0.0004693999,0.0007256243,0.002309651,0.9935127,0.00004132258],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002422288,0.0002908595,0.0002877263,0.00008496028,0.00008231594,0.0000251151,0.9944448,0.001336561,0.003205435],"genre_scores_gemma":[0.0003045945,0.0001313445,0.0004884371,0.00006918193,0.0000110638,0.00005749518,0.997296,0.000134234,0.0015077],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1192686,"threshold_uncertainty_score":0.3989932,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01520633123707281,"score_gpt":0.4196568103100153,"score_spread":0.4044504790729425,"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."}}