{"id":"W7092917142","doi":"10.57745/ggcfdx","title":"README_BLUES.txt","year":2025,"lang":"","type":"dataset","venue":"Recherche Data Gouv France","topic":"Historical and Literary Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Arctic Resources Committee","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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","metaepi_narrow","sts","open_science","research_integrity","insufficient_payload"],"consensus_categories":["research_integrity","insufficient_payload"],"category_scores_codex":[0.007593222,0.00104915,0.0016979,0.0002452329,0.001926182,0.0002961354,0.009836695,0.002755435,0.003261197],"category_scores_gemma":[0.01257474,0.001026489,0.0002832325,0.003532542,0.001390344,0.001241354,0.00374696,0.004459694,0.002196691],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001236255,"about_ca_system_score_gemma":0.002193023,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01263793,"about_ca_topic_score_gemma":0.00214855,"domain_scores_codex":[0.988447,0.004470098,0.001379271,0.002860619,0.001363181,0.001479907],"domain_scores_gemma":[0.9875392,0.004816859,0.000654485,0.006125814,0.000379096,0.000484492],"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":[0.00004371779,0.000363211,0.00004909001,0.0005171753,0.0002737437,0.00004260357,0.003941963,3.61248e-7,0.000001873998,0.0005174249,0.9549793,0.03926951],"study_design_scores_gemma":[0.0003436802,0.00007669991,0.00003333421,0.0008341765,0.000330331,0.000001504667,0.000616873,0.00002986356,0.000002815388,0.0005880977,0.9960688,0.00107385],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000009825809,0.02131925,0.0001870614,0.002983662,0.005317137,0.0008108087,0.9297093,0.0001342487,0.03952875],"genre_scores_gemma":[0.000003674739,0.06577724,0.002379985,0.001900727,0.00239304,0.00007216398,0.735202,0.00002169126,0.1922495],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1945073,"threshold_uncertainty_score":0.9993732,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2936313334504149,"score_gpt":0.440676396094183,"score_spread":0.1470450626437682,"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."}}