{"id":"W4365147734","doi":"10.1515/iupac.94.0568","title":"Intrinsic Barrier","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; Philosophy; Political science; Mathematics; Law","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":[0.001550606,0.002476657,0.001512341,0.002926238,0.00175402,0.003937419,0.003407779,0.002562005,0.133996],"category_scores_gemma":[0.01138094,0.0006916644,0.001834596,0.004326898,0.0005852093,0.003387146,0.003241341,0.00306199,0.2683129],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001785564,"about_ca_system_score_gemma":0.003102739,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0271027,"about_ca_topic_score_gemma":0.0560869,"domain_scores_codex":[0.9980044,0.0003469542,0.0002495552,0.0006328274,0.00046223,0.0003039928],"domain_scores_gemma":[0.9955291,0.001137368,0.0003107421,0.001601088,0.001111872,0.0003098251],"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":[0.00004832082,0.00001495919,0.0004806283,0.0003320679,0.00001096864,0.00001273451,0.00002060917,0.0001174404,0.00007564636,0.0005745347,0.9957337,0.002578401],"study_design_scores_gemma":[0.00009109643,0.00001574693,0.002316033,0.0003759242,0.00001734207,0.00007162709,0.0001144683,0.0004149538,0.0003012664,0.002079495,0.9941708,0.0000311504],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002458304,0.0001809748,0.0002147103,0.0002025118,0.0001010623,0.0000309705,0.9943765,0.001074515,0.003572958],"genre_scores_gemma":[0.0004584485,0.00008997966,0.0004259214,0.0001736522,0.00001331,0.0000948485,0.9968975,0.0001724073,0.001673992],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.133996,"threshold_uncertainty_score":0.4482611,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02090828259347464,"score_gpt":0.4093556370246595,"score_spread":0.3884473544311849,"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."}}