{"id":"W6924524753","doi":"10.15454/xetxqu/mcz7f4","title":"6_HFD4_45C.fastq.gz","year":2021,"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":[0.007594843,0.001417341,0.001749234,0.0003709139,0.0002303979,0.0004466343,0.01080717,0.003502036,0.007482205],"category_scores_gemma":[0.01319529,0.001523055,0.0002647232,0.002643561,0.0003705637,0.001073112,0.005136509,0.007771738,0.1094761],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009978083,"about_ca_system_score_gemma":0.002081129,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002485306,"about_ca_topic_score_gemma":0.002278383,"domain_scores_codex":[0.9885046,0.003600972,0.001219507,0.003588752,0.001562933,0.001523176],"domain_scores_gemma":[0.9773165,0.001981125,0.000904803,0.0188683,0.000436296,0.0004929561],"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":[0.00004274156,0.0003601275,0.00001239581,0.0006542266,0.0003352338,0.0003885047,0.00002283913,0.000003852138,0.0003040197,0.000004137535,0.993395,0.004476871],"study_design_scores_gemma":[0.0007220962,0.00003268617,0.00006523839,0.0008262802,0.0004142402,0.0001153568,0.00004845799,0.00008042826,0.000189567,0.0000836,0.9958291,0.001592933],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000100201,0.008791652,0.0001506411,0.0002069284,0.00181457,0.0007157363,0.9872192,0.0004006626,0.0006906263],"genre_scores_gemma":[3.082065e-7,0.006009937,0.01049845,0.0009465386,0.001834397,0.000133676,0.9750159,0.0004144575,0.005146328],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1019939,"threshold_uncertainty_score":0.9998577,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5079167257328147,"score_gpt":0.4621145402885345,"score_spread":0.04580218544428011,"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."}}