{"id":"W7116047630","doi":"10.57745/2mvfdv","title":"straight_plate_tripped_BPT.tab","year":2025,"lang":"","type":"dataset","venue":"Recherche Data Gouv France","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke; École de Technologie Supérieure","funders":"","keywords":"","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":[0.0005420845,0.00518702,0.001981175,0.003689002,0.0009187177,0.002373164,0.003060584,0.004429183,0.1253795],"category_scores_gemma":[0.003938195,0.001143246,0.002246384,0.005466752,0.0004912002,0.001640918,0.001528564,0.001983304,0.2213009],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001575618,"about_ca_system_score_gemma":0.001949756,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04045852,"about_ca_topic_score_gemma":0.04692698,"domain_scores_codex":[0.9991036,0.00009556669,0.00007455401,0.0003070179,0.000264206,0.0001550826],"domain_scores_gemma":[0.9984962,0.000440964,0.0001199766,0.0003762585,0.0004599284,0.0001066324],"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":[0.00007074156,0.00002711547,0.0004329086,0.0005774684,0.00002748674,0.00002338086,0.00001133661,0.000841586,0.0001534534,0.0002609481,0.9944682,0.003105233],"study_design_scores_gemma":[0.0004561985,0.00005072317,0.004297148,0.0003538936,0.00004256294,0.0001036121,0.00006766067,0.002333533,0.0009507113,0.001810465,0.9894626,0.00007090716],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001480476,0.00008414865,0.0000993269,0.00003537302,0.00003030201,0.000006802959,0.9974079,0.00150298,0.0006852804],"genre_scores_gemma":[0.0005481091,0.00006024978,0.000395713,0.00003075169,0.00001004974,0.00003737111,0.9979412,0.0002093122,0.0007672198],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8746206,"threshold_uncertainty_score":0.4194361,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3773251889574749,"score_gpt":0.4565198510518506,"score_spread":0.07919466209437576,"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."}}