{"id":"W6936157990","doi":"10.57745/htqwyx","title":"2010-EGG-EST-0301-Eve-Isotamm.ogg","year":2025,"lang":"fr","type":"dataset","venue":"Recherche Data Gouv France","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Eston College","funders":"","keywords":"Process (computing); Identification (biology); Reflection (computer programming); Work (physics)","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":["metaresearch","metaepi_narrow","scholarly_communication","open_science","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","open_science","research_integrity","insufficient_payload"],"category_scores_codex":[0.01998383,0.00414337,0.004409934,0.001262563,0.0009363424,0.001118134,0.02780088,0.01019762,0.005452299],"category_scores_gemma":[0.03245127,0.004794162,0.0007198161,0.007747718,0.002134217,0.003486902,0.01229914,0.01927339,0.124189],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.004136328,"about_ca_system_score_gemma":0.006636919,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01062086,"about_ca_topic_score_gemma":0.00367843,"domain_scores_codex":[0.9693561,0.01115442,0.003689887,0.008332266,0.002937629,0.00452974],"domain_scores_gemma":[0.95151,0.009359586,0.002462979,0.03408944,0.001184045,0.001393955],"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":[0.000360585,0.001721306,0.0005261679,0.004070265,0.001411251,0.0005660828,0.0001411712,0.00004891102,0.0004405079,0.0002867128,0.9659311,0.02449591],"study_design_scores_gemma":[0.002633545,0.0001336436,0.0009691351,0.00554207,0.002155086,0.0001691629,0.0001061281,0.001920218,0.0003109413,0.0005886728,0.9812353,0.004236053],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005017203,0.05498903,0.0009694883,0.003521082,0.009194033,0.002793517,0.9230443,0.0007252707,0.004713136],"genre_scores_gemma":[0.000002838522,0.03347173,0.02259355,0.002541283,0.003070556,0.0003891515,0.8332574,0.0005746342,0.1040989],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1187367,"threshold_uncertainty_score":0.9999188,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2892306325232071,"score_gpt":0.4218189132157076,"score_spread":0.1325882806925005,"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."}}