{"id":"W6917632593","doi":"10.57745/0tef1j","title":"Description_FreeDataBase_Feed_Intake_Sieving.pdf","year":2025,"lang":"en","type":"dataset","venue":"Recherche Data Gouv France","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"","keywords":"Identification (biology); Set (abstract data type); Process (computing); Product (mathematics); Relation (database)","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","open_science","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","research_integrity","insufficient_payload"],"category_scores_codex":[0.007731728,0.001418803,0.00152137,0.0008311082,0.0003054523,0.0004048359,0.01252158,0.002716347,0.01108962],"category_scores_gemma":[0.01528443,0.001531917,0.0002474314,0.003105581,0.0004774452,0.001647714,0.004907496,0.00727131,0.05532091],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001425453,"about_ca_system_score_gemma":0.002001999,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00428606,"about_ca_topic_score_gemma":0.001457117,"domain_scores_codex":[0.9899114,0.002700348,0.001450751,0.003251931,0.001328237,0.001357313],"domain_scores_gemma":[0.9782462,0.001754371,0.0009178369,0.01823464,0.0004505996,0.0003964219],"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":[0.00007345507,0.0003168291,0.00001737282,0.0008814535,0.0003409753,0.00007244526,0.0000103499,0.000003776504,0.0002052348,0.00002123518,0.9943103,0.003746542],"study_design_scores_gemma":[0.0007716013,0.00003643231,0.00003139422,0.001612686,0.0005398973,0.00003363044,0.00003471343,0.0001353593,0.0001277105,0.00008048944,0.9952026,0.00139349],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000001959097,0.005581743,0.000694081,0.0002672813,0.002792884,0.001048087,0.9856306,0.0005070512,0.003476367],"genre_scores_gemma":[1.229603e-7,0.004700663,0.01170682,0.001698085,0.000985781,0.0001649997,0.9573449,0.0001241437,0.02327449],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.04423128,"threshold_uncertainty_score":0.9998562,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3202601136445365,"score_gpt":0.4208167695068473,"score_spread":0.1005566558623107,"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."}}