{"id":"W4253479423","doi":"10.1515/iupac.85.0324","title":"Appearance Potential","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Color perception and design","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta; National Research Council Canada","funders":"","keywords":"Chemical nomenclature; Terminology; Mass spectrometry; Chemistry; Standardization; Accelerator mass spectrometry; Analytical Chemistry (journal); Computer science; Environmental chemistry; Chromatography; Linguistics; Organic chemistry","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":[0.0004469374,0.0004104135,0.0005428215,0.0002322163,0.0001102046,0.00005083729,0.0004964597,0.0006013684,0.1083866],"category_scores_gemma":[0.0000951446,0.0003252391,0.0002490209,0.0001566249,0.0001829437,0.00004955371,0.0001004149,0.0005279771,0.000294994],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002191225,"about_ca_system_score_gemma":0.0003079814,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001329173,"about_ca_topic_score_gemma":0.0002632611,"domain_scores_codex":[0.9973453,0.0002020096,0.000456395,0.0006775875,0.000796419,0.0005222753],"domain_scores_gemma":[0.9981821,0.00003361216,0.0002170667,0.001099865,0.0002730996,0.0001942717],"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":[0.0005839968,0.0002793029,0.00000197985,0.00003461337,0.0001033999,0.0002104774,0.00002686849,4.616447e-7,0.00001818005,0.0000336687,0.9865308,0.01217629],"study_design_scores_gemma":[0.001465107,0.0002459554,0.000271902,0.0001499629,0.00008111298,0.00005994681,0.0000414214,0.000001055087,8.604334e-7,0.00011484,0.9971485,0.0004193219],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000658615,0.000837424,0.001603762,0.0007012111,0.004165567,0.0003162806,0.9914437,0.0001338041,0.0007324121],"genre_scores_gemma":[0.0001594333,0.0003098042,0.00001759568,0.0008895642,0.002416205,0.00003382059,0.9884625,0.00004596251,0.007665132],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1080916,"threshold_uncertainty_score":0.99992,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02149425505061729,"score_gpt":0.4468163784367027,"score_spread":0.4253221233860854,"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."}}