{"id":"W4365147996","doi":"10.1515/iupac.94.0900","title":"Tunnelling","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); Epistemology; Computer science; Linguistics; Philosophy; Political science; Mathematics; Law; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001293164,0.003001842,0.001515408,0.003365966,0.001811394,0.003381313,0.003682519,0.002187608,0.09549537],"category_scores_gemma":[0.006758254,0.000672597,0.002329641,0.004070638,0.0005854359,0.002859159,0.003469264,0.00271536,0.1749182],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001354583,"about_ca_system_score_gemma":0.002403758,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02592495,"about_ca_topic_score_gemma":0.07160551,"domain_scores_codex":[0.9984682,0.0002787853,0.0001517501,0.0005072344,0.0003582249,0.0002356879],"domain_scores_gemma":[0.9975122,0.0005641794,0.0001443949,0.001082862,0.000506055,0.0001902936],"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":[0.00008612341,0.00003416484,0.0006210625,0.0004055946,0.00002000418,0.00002256474,0.00002474143,0.0003099203,0.0001068574,0.0009023861,0.9912359,0.006230813],"study_design_scores_gemma":[0.0001732651,0.00004226938,0.002935535,0.0005036783,0.0000281962,0.0001556217,0.0001501076,0.001632109,0.0006533822,0.004838568,0.9888294,0.00005790469],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0007049054,0.0004315803,0.0006612852,0.0001865751,0.0001672005,0.00005474131,0.9894993,0.003282772,0.005011635],"genre_scores_gemma":[0.0007459758,0.0001297149,0.001044475,0.0001268208,0.00001224759,0.0001057722,0.9955883,0.0002460218,0.002000606],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.09549537,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02924333520472627,"score_gpt":0.4238940631706701,"score_spread":0.3946507279659439,"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."}}