{"id":"W6955021121","doi":"10.57745/qqrhvh","title":"ANR_ArchiFluo_ReadMe_101364OE483722_20230426_V0.txt","year":2023,"lang":"en","type":"dataset","venue":"Recherche Data Gouv France","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"","keywords":"Set (abstract data type); Process (computing); Identification (biology); Work (physics)","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":[0.01093202,0.001720268,0.00190493,0.0009465925,0.0003421983,0.0003905614,0.01472763,0.00310618,0.001552028],"category_scores_gemma":[0.01426373,0.001775683,0.0003365255,0.004720685,0.0005736528,0.001018032,0.007187159,0.008158442,0.659811],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000886213,"about_ca_system_score_gemma":0.001419208,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01056465,"about_ca_topic_score_gemma":0.003443277,"domain_scores_codex":[0.9869315,0.003138086,0.001519568,0.004203826,0.002043149,0.002163888],"domain_scores_gemma":[0.9755805,0.004344683,0.0009357102,0.01820398,0.0002767344,0.000658417],"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":[0.00006472505,0.0002451533,0.00001506884,0.0006990776,0.000458156,0.0003556947,0.00003389531,0.00001085662,0.0001503556,0.000009129806,0.9924077,0.005550233],"study_design_scores_gemma":[0.0007573206,0.00006433886,0.0002538392,0.0006818337,0.0004358609,0.00005525137,0.00002788035,0.0003098343,0.00004587085,0.0004732163,0.9950515,0.001843254],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00001050675,0.00137515,0.0000755364,0.0003152033,0.00251929,0.001316174,0.9921002,0.001721289,0.0005666601],"genre_scores_gemma":[1.707915e-7,0.006868112,0.004121804,0.000510997,0.001948665,0.0003002129,0.9748137,0.0008339257,0.01060241],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.658259,"threshold_uncertainty_score":0.9995543,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5268939547131226,"score_gpt":0.4712435012910497,"score_spread":0.05565045342207287,"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."}}