{"id":"W4253287219","doi":"10.1515/iupac.73.0496","title":"Pe","year":2016,"lang":"ro","type":"dataset","venue":"IUPAC Standards Online","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Okanagan College","funders":"","keywords":"Table (database); Product (mathematics); Commission; Food science; Chemistry; Biochemistry; Organic chemistry; Polymer science; Computer science; Political science; Mathematics; Law; Data mining","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","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","research_integrity","insufficient_payload"],"category_scores_codex":[0.003785483,0.002649154,0.003069359,0.001349342,0.0006215787,0.0004556259,0.002987609,0.001939214,0.08557747],"category_scores_gemma":[0.005064225,0.002125166,0.001012715,0.00131933,0.001402348,0.0005539867,0.001480764,0.002393453,0.002604587],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.005304054,"about_ca_system_score_gemma":0.007489648,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002552654,"about_ca_topic_score_gemma":0.002915271,"domain_scores_codex":[0.9841092,0.0008302028,0.00229039,0.002807228,0.007086267,0.002876674],"domain_scores_gemma":[0.9874362,0.0005629512,0.001849428,0.005368404,0.003370283,0.001412786],"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":[0.002036777,0.001629415,0.0000406139,0.0005306529,0.0008920565,0.0009481097,0.00005138538,0.000002545605,0.0002018568,0.00005198445,0.9866431,0.006971527],"study_design_scores_gemma":[0.005589989,0.001095928,0.00009082638,0.003343929,0.001166939,0.0001586678,0.0000923023,0.00001755856,0.00008612628,0.0002897301,0.9853874,0.002680586],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000314049,0.005051276,0.0001739472,0.001636099,0.004121325,0.001350973,0.9864408,0.000519006,0.0003925381],"genre_scores_gemma":[0.00007997613,0.00336419,0.0001417511,0.0005150922,0.007428544,0.00004530219,0.9824421,0.00093592,0.005047138],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.08297289,"threshold_uncertainty_score":0.9999081,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01682967672068977,"score_gpt":0.4225747073911253,"score_spread":0.4057450306704356,"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."}}