{"id":"W4365147834","doi":"10.1515/iupac.94.0260","title":"Atomic Orbital","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; Chemistry; 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":[0.0006175672,0.002058269,0.001412916,0.003142007,0.001295274,0.002534074,0.003157699,0.001564077,0.1526268],"category_scores_gemma":[0.00390825,0.0006578994,0.001281331,0.006675192,0.0003714842,0.002275535,0.002302944,0.002428978,0.2722473],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001438384,"about_ca_system_score_gemma":0.002030232,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02406976,"about_ca_topic_score_gemma":0.04967837,"domain_scores_codex":[0.9992698,0.0001053006,0.00008485561,0.0002286511,0.0002047142,0.0001066829],"domain_scores_gemma":[0.9988269,0.0002164883,0.000101118,0.0004202187,0.000330037,0.000105217],"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":[0.00003464004,0.000009907892,0.0002462326,0.0003320134,0.00001257845,0.00001347865,0.00001273516,0.000146171,0.0000967183,0.0007466548,0.9953852,0.002963692],"study_design_scores_gemma":[0.00005848399,0.000008736177,0.001284992,0.0001732623,0.00001323117,0.00004459988,0.00004492954,0.0002953062,0.0002151497,0.002556419,0.9952858,0.00001906261],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00007695684,0.00009162718,0.0001197035,0.00005220735,0.00003101131,0.000008219499,0.9974022,0.0004699197,0.001748199],"genre_scores_gemma":[0.0001868591,0.00007493902,0.0002825546,0.00004559139,0.000005558566,0.00002644383,0.9985208,0.00007315847,0.0007840812],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1526268,"threshold_uncertainty_score":0.5105874,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02157444097509157,"score_gpt":0.4152000065769387,"score_spread":0.3936255656018471,"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."}}