{"id":"W6917413778","doi":"10.57745/q9fusp","title":"MLUCI.20210421.recipeA.gff3","year":2023,"lang":"en","type":"dataset","venue":"Recherche Data Gouv France","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Nautical Research Society","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":"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":[0.01299955,0.001714945,0.001967757,0.0007590684,0.0003078727,0.0004371415,0.01504164,0.004050481,0.001178309],"category_scores_gemma":[0.01896291,0.00181405,0.0003033255,0.00474582,0.0004812601,0.001156254,0.00611404,0.008589193,0.5142182],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001263256,"about_ca_system_score_gemma":0.001500104,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007414019,"about_ca_topic_score_gemma":0.004184094,"domain_scores_codex":[0.9867817,0.003409029,0.001537686,0.004180995,0.00204404,0.002046547],"domain_scores_gemma":[0.9750112,0.003887145,0.001086744,0.01906945,0.0003495116,0.0005959708],"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":[0.00007448294,0.0002470532,0.0000108183,0.000669796,0.0004032784,0.0003318074,0.00003460996,0.00001065746,0.0001457668,0.00000489986,0.9925698,0.005497016],"study_design_scores_gemma":[0.000812666,0.00005568561,0.0001652121,0.0008931887,0.0004250471,0.00004488351,0.00004385819,0.0002066543,0.00007020168,0.0002909278,0.9950764,0.001915311],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00001089966,0.003737766,0.00007896854,0.0004048882,0.003420142,0.001173032,0.9893265,0.001356753,0.0004910019],"genre_scores_gemma":[2.11985e-7,0.007463415,0.004158131,0.0006427388,0.002532694,0.0002692485,0.9714981,0.0008078353,0.01262764],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.5130398,"threshold_uncertainty_score":0.9997348,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5783643488265726,"score_gpt":0.4798094528988605,"score_spread":0.09855489592771216,"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."}}