{"id":"W6898778058","doi":"10.57745/y5zvue","title":"MARE.20220802.recipeA","year":2023,"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":[0.01186285,0.001446183,0.001627086,0.0006613925,0.0002652283,0.000357483,0.01412855,0.003348261,0.001643345],"category_scores_gemma":[0.0156464,0.001534615,0.0002475442,0.004066715,0.0003765526,0.0009632753,0.006173323,0.007714908,0.5146112],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001176969,"about_ca_system_score_gemma":0.001180918,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007279952,"about_ca_topic_score_gemma":0.003715607,"domain_scores_codex":[0.9885507,0.00304672,0.001293003,0.003565275,0.001795341,0.001748921],"domain_scores_gemma":[0.9773919,0.003443455,0.0009072584,0.01751248,0.0002699437,0.0004749371],"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":[0.00006568292,0.0001846072,0.00001199888,0.0006026977,0.0003221857,0.0003062695,0.00002163286,0.000006556361,0.00006868759,0.000003532126,0.9942404,0.004165764],"study_design_scores_gemma":[0.0006502628,0.00004443181,0.0001978794,0.0006650656,0.000327102,0.00003795804,0.00003387703,0.0001673493,0.00002759677,0.0002386668,0.9959827,0.001627075],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00000528425,0.002974297,0.00005229227,0.0003765489,0.003001589,0.001050675,0.9907811,0.001247793,0.0005103866],"genre_scores_gemma":[9.805248e-8,0.006377636,0.003686775,0.0006073784,0.001968194,0.0002433,0.9733655,0.0006978271,0.01305325],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.5129679,"threshold_uncertainty_score":0.9998288,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5665688136622553,"score_gpt":0.4746894202217358,"score_spread":0.09187939344051949,"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."}}