{"id":"W6962001686","doi":"10.15454/5jhumf/whpojk","title":"DataOFFSP.tab","year":2020,"lang":"en","type":"dataset","venue":"Recherche Data Gouv France","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Cape Breton University","funders":"","keywords":"Offspring; Identification (biology); Population; Selection (genetic algorithm)","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":[0.005520149,0.001358834,0.001627453,0.0002687251,0.0001921216,0.0003727662,0.01728843,0.002597895,0.001586332],"category_scores_gemma":[0.01408013,0.001421643,0.000168304,0.00237565,0.000371469,0.00144558,0.007123364,0.008069563,0.2694502],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006283717,"about_ca_system_score_gemma":0.001344962,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001801583,"about_ca_topic_score_gemma":0.0006688797,"domain_scores_codex":[0.9898581,0.002549719,0.001160583,0.003691176,0.001465598,0.001274858],"domain_scores_gemma":[0.978801,0.001691766,0.0009095849,0.01778717,0.0001845404,0.0006259309],"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":[0.00008683157,0.0001900184,0.000006092091,0.0006535231,0.0002763038,0.0002180594,0.00002282045,0.000001889227,0.000154393,0.000004608476,0.9948907,0.003494719],"study_design_scores_gemma":[0.0007097477,0.00004986942,0.00002989606,0.0003691186,0.0004180925,0.00004185225,0.00001841673,0.0002181826,0.00007033016,0.00009415134,0.9964809,0.00149947],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000001014905,0.003183884,0.0002002702,0.0005883473,0.001327026,0.0009244503,0.9928738,0.0005847132,0.0003164424],"genre_scores_gemma":[2.181256e-7,0.004478053,0.0108858,0.002042482,0.003240774,0.00009391824,0.9779712,0.0004004962,0.0008870494],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2678638,"threshold_uncertainty_score":0.9999163,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5520246199762795,"score_gpt":0.4546251886058354,"score_spread":0.0973994313704441,"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."}}