{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001027427,0.001487102,0.001346527,0.003706381,0.0007836953,0.005074482,0.001987621,0.001602546,0.3602716],"category_scores_gemma":[0.008067873,0.0006217663,0.0009808653,0.00655854,0.0004006999,0.002764225,0.002990551,0.001577636,0.5294657],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001149765,"about_ca_system_score_gemma":0.001998389,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008625177,"about_ca_topic_score_gemma":0.007701505,"domain_scores_codex":[0.9981949,0.0002740321,0.0001791827,0.0007711645,0.000368491,0.0002121813],"domain_scores_gemma":[0.9977069,0.0004367929,0.0002125688,0.0008475227,0.000586575,0.000209587],"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":[0.0001260978,0.00002378765,0.002153647,0.0009939746,0.00004064885,0.00004497787,0.00003734772,0.0002477296,0.0002179987,0.002141709,0.9582524,0.03571962],"study_design_scores_gemma":[0.00003465518,0.00001082317,0.001871682,0.0003142775,0.00001113216,0.00007113229,0.00004191705,0.0001894507,0.0001754034,0.001508335,0.9957604,0.00001081003],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0004000564,0.0004230679,0.0005821824,0.0003414268,0.0001556438,0.00003646268,0.9811783,0.001506848,0.01537593],"genre_scores_gemma":[0.00128541,0.0004468314,0.0005518831,0.0001973012,0.000040708,0.00006987479,0.9897411,0.0002743667,0.007392426],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.6397284,"threshold_uncertainty_score":0,"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."}}