{"id":"W4394203847","doi":"10.6084/m9.figshare.21440952","title":"Atollgen pipeline outputs","year":2023,"lang":"en","type":"dataset","venue":"Figshare","topic":"Offshore Engineering and Technologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Fonds de recherche du Québec – Nature et technologies","keywords":"Pipeline (software); Computer science; Programming language","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001657121,0.002428813,0.001401066,0.004011236,0.001347643,0.003246817,0.003266086,0.002134979,0.1382514],"category_scores_gemma":[0.007315693,0.0009417106,0.002062437,0.0052663,0.000455955,0.001919015,0.00251445,0.002046474,0.2059973],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001656773,"about_ca_system_score_gemma":0.002410079,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01539136,"about_ca_topic_score_gemma":0.0292275,"domain_scores_codex":[0.9983485,0.0002695119,0.0001416446,0.00059966,0.0004332286,0.0002075397],"domain_scores_gemma":[0.9970981,0.0009422416,0.0001584418,0.0008217613,0.0007949501,0.0001844672],"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":[0.00006629527,0.00001301811,0.0004865747,0.0003887107,0.00002125048,0.00001919339,0.00002949434,0.0003571083,0.0002328827,0.0005731707,0.9951931,0.002619223],"study_design_scores_gemma":[0.00009865793,0.00001397269,0.001635414,0.000145859,0.00002592021,0.00004017565,0.00008619224,0.0005473664,0.0006542655,0.001912772,0.9948048,0.00003462697],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001289182,0.00004717063,0.0002441526,0.00006992248,0.00003166714,0.00001554339,0.9959537,0.001916656,0.001592346],"genre_scores_gemma":[0.0003499423,0.00003344407,0.0008804153,0.000055141,0.000005937648,0.00008939451,0.9971406,0.0005566434,0.0008884391],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1382514,"threshold_uncertainty_score":0.4624969,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02556503142877854,"score_gpt":0.2258416707197173,"score_spread":0.2002766392909388,"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."}}