{"id":"W4365147939","doi":"10.1515/iupac.94.0664","title":"Microscopic Diffusion Control","year":2023,"lang":"fr","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); Control (management); Computer science; Epistemology; Linguistics; Artificial intelligence; 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":[0.0007458246,0.001793801,0.001397828,0.00169728,0.0008610053,0.002133935,0.003139363,0.001824453,0.05485148],"category_scores_gemma":[0.003708923,0.0004958818,0.001388771,0.002234124,0.0003851184,0.001562001,0.001087204,0.001898935,0.05225749],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001786644,"about_ca_system_score_gemma":0.001399109,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02331169,"about_ca_topic_score_gemma":0.0438817,"domain_scores_codex":[0.9994963,0.00007804257,0.000037646,0.0001689181,0.0001396249,0.00007938519],"domain_scores_gemma":[0.9988599,0.0003304841,0.00009842989,0.0004324539,0.00020044,0.00007830336],"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":[0.0001039493,0.00006478876,0.0008497905,0.0006717804,0.00004672799,0.00002935218,0.00001434897,0.008049505,0.0004815243,0.004695017,0.9737232,0.01127003],"study_design_scores_gemma":[0.0005191779,0.0001134178,0.006572047,0.0005725878,0.00008044303,0.0002637067,0.00007657152,0.08581682,0.003930489,0.0402026,0.8617137,0.0001383703],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00216087,0.001292378,0.004098993,0.000432427,0.0002536681,0.00007152063,0.9798395,0.00418241,0.007668279],"genre_scores_gemma":[0.005844811,0.0005668284,0.003394153,0.0001650284,0.00003803966,0.0001819616,0.9852314,0.000269363,0.004308434],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.05485148,"threshold_uncertainty_score":0.1834965,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01626892221025938,"score_gpt":0.4036497741494545,"score_spread":0.3873808519391951,"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."}}