{"id":"W6898782758","doi":"10.57745/ow29ry","title":"2D_dataset.rar","year":2025,"lang":"es","type":"dataset","venue":"Recherche Data Gouv France","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Process (computing); Term (time); Sign (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","scholarly_communication","open_science","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","open_science","research_integrity","insufficient_payload"],"category_scores_codex":[0.01752042,0.0032503,0.00354069,0.001280155,0.0007015056,0.001303989,0.03301033,0.006824889,0.003402431],"category_scores_gemma":[0.0350441,0.003574256,0.0004376505,0.006648588,0.001223251,0.003169348,0.01814617,0.01363227,0.07712762],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002015331,"about_ca_system_score_gemma":0.005036121,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005074756,"about_ca_topic_score_gemma":0.0009361181,"domain_scores_codex":[0.9754737,0.008467091,0.002939588,0.007551112,0.002497216,0.003071264],"domain_scores_gemma":[0.9451236,0.00750874,0.001981084,0.04388632,0.0006042722,0.0008959763],"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":[0.0002966775,0.001212041,0.00009370001,0.003889723,0.00123741,0.0003722662,0.00003102386,0.00001201759,0.0001888397,0.00009172067,0.9796011,0.0129735],"study_design_scores_gemma":[0.001909431,0.0001101644,0.0001544332,0.004426068,0.001883537,0.00006220923,0.00005800975,0.0008600479,0.0001990199,0.0001990739,0.9869312,0.003206779],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00001086049,0.02014105,0.0004973341,0.0008804461,0.002849944,0.002292827,0.9716974,0.0005959127,0.001034228],"genre_scores_gemma":[6.549132e-7,0.03641559,0.02590539,0.002227167,0.001423238,0.0002424471,0.9269226,0.0003501455,0.006512811],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.07372519,"threshold_uncertainty_score":0.9997327,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3216831438698825,"score_gpt":0.4582332363725505,"score_spread":0.136550092502668,"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."}}