{"id":"W4365142277","doi":"10.1515/iupac.94.0723","title":"Perpendicular 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; Abandonment (legal); Meaning (existential); Field (mathematics); Computer science; Epistemology; Linguistics; Mathematics; Philosophy; Political science; Pure mathematics","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0007961564,0.0007377985,0.0009595177,0.0001532762,0.0001935247,0.0001711174,0.001274947,0.001023143,0.009657819],"category_scores_gemma":[0.002531674,0.0006790663,0.0004280047,0.0003171263,0.000195296,0.00005451468,0.000667867,0.002150844,0.0001211631],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00094963,"about_ca_system_score_gemma":0.001020335,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005199914,"about_ca_topic_score_gemma":0.0004459468,"domain_scores_codex":[0.9949055,0.00006787859,0.0005375019,0.000938166,0.002594309,0.000956596],"domain_scores_gemma":[0.9968146,0.0003076612,0.0002273851,0.001906945,0.0003312658,0.000412129],"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":[0.0001047647,0.00012614,0.00002015502,0.002642704,0.0003175389,0.001483239,0.000005038658,0.000004506177,0.0006791559,6.402422e-7,0.9936082,0.001007877],"study_design_scores_gemma":[0.001010649,0.00009489687,0.000003178628,0.0005362397,0.0001883496,0.00006344408,0.00001622437,0.0000273006,0.003072329,0.00003177032,0.9943315,0.0006241155],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0008858836,0.0005117273,0.000002838471,0.0002289175,0.0003297614,0.0001703474,0.9970368,0.0003895712,0.000444172],"genre_scores_gemma":[0.00001292207,0.0006992858,0.00001282598,0.00004347254,0.001780159,0.00006145016,0.9902671,0.0001385592,0.006984229],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.009536656,"threshold_uncertainty_score":0.9995661,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01432940873072703,"score_gpt":0.4181280339216196,"score_spread":0.4037986251908925,"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."}}