{"id":"W6898687609","doi":"10.57745/suumi1","title":"PFAS_SOEREPRO_2024_Database_metadata.xlsx","year":2024,"lang":"en","type":"dataset","venue":"Recherche Data Gouv France","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Process (computing); Identification (biology); Product (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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00177607,0.003367698,0.001887885,0.005954331,0.001483973,0.004682858,0.003939857,0.003582838,0.2335716],"category_scores_gemma":[0.01073871,0.00140737,0.001703217,0.009435011,0.0008529425,0.003447211,0.00313463,0.002474304,0.2782322],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003335237,"about_ca_system_score_gemma":0.004312177,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05376837,"about_ca_topic_score_gemma":0.05805526,"domain_scores_codex":[0.9976973,0.0003913245,0.0002874597,0.0006038697,0.0006036439,0.0004164942],"domain_scores_gemma":[0.9947466,0.001415848,0.0003667799,0.001563137,0.001433074,0.0004744959],"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":[0.00004005533,0.00001237567,0.0001961452,0.0003165349,0.00001382806,0.000009246498,0.00001820104,0.0001155488,0.00008875152,0.0005126516,0.9976929,0.0009838647],"study_design_scores_gemma":[0.0001894356,0.00001203136,0.001340505,0.0001738722,0.00001262437,0.00003187675,0.00007624924,0.0002073466,0.0004071568,0.001013908,0.9965056,0.00002952586],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003949133,0.00002609413,0.000047153,0.00007283739,0.00002238643,0.000008085999,0.9984578,0.0005760904,0.0007501416],"genre_scores_gemma":[0.0002064102,0.00003338868,0.0002309503,0.00004687818,0.000006640299,0.00004794727,0.9984603,0.0002095373,0.0007580174],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7664284,"threshold_uncertainty_score":0.7813748,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4819004566333246,"score_gpt":0.4707833415992632,"score_spread":0.01111711503406143,"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."}}