{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001111496,0.001914779,0.001295183,0.004093002,0.001239361,0.004079692,0.002682452,0.001731447,0.2216076],"category_scores_gemma":[0.01314781,0.0005580256,0.001809172,0.006686917,0.0003846539,0.003910039,0.002478465,0.002032293,0.2933749],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001966392,"about_ca_system_score_gemma":0.002874404,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01775977,"about_ca_topic_score_gemma":0.03093384,"domain_scores_codex":[0.9980407,0.0003063835,0.0002581834,0.0006145021,0.0005338517,0.0002464078],"domain_scores_gemma":[0.9957643,0.00107171,0.000333941,0.001114915,0.001393397,0.0003218823],"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":[0.00005176409,0.00001379113,0.0007318972,0.0006375341,0.00001623084,0.00001405769,0.00001845216,0.00009143657,0.00003977154,0.0008163464,0.9902741,0.00729466],"study_design_scores_gemma":[0.00005479333,0.000007946343,0.001948535,0.000323596,0.00001553174,0.0000448444,0.0000938932,0.0001419378,0.0001214125,0.001994007,0.9952355,0.00001809363],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001513732,0.0002445962,0.0001802016,0.0001702792,0.00007838085,0.00002463876,0.9939615,0.0007090016,0.004479973],"genre_scores_gemma":[0.0007653239,0.0003100236,0.000670343,0.0002007111,0.00002595778,0.0001630657,0.9932861,0.0002180787,0.004360502],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2216076,"threshold_uncertainty_score":0.7413511,"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."}}