{"id":"W6910780742","doi":"10.48579/pro/x9zrvb/0va82b","title":"stats_survival_infected_gammarids.R","year":2024,"lang":"en","type":"dataset","venue":"data.InDoRES","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":["metaepi_narrow","open_science","research_integrity","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001339758,0.001273396,0.001189251,0.001172142,0.0001886084,0.001034167,0.005782296,0.0008455259,0.006620562],"category_scores_gemma":[0.001289469,0.00114202,0.0002199606,0.00129362,0.0004289458,0.0007826043,0.006584287,0.002638584,0.5784772],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002992573,"about_ca_system_score_gemma":0.0007266754,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006258043,"about_ca_topic_score_gemma":0.01039228,"domain_scores_codex":[0.9932059,0.000441823,0.001033162,0.002530334,0.001527247,0.001261502],"domain_scores_gemma":[0.9887843,0.000590671,0.0004282873,0.00960657,0.0001704259,0.0004197463],"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":[0.00008039608,0.0002158154,0.00001656779,0.0007137706,0.0007730345,0.001065267,0.00001532747,0.000005444425,0.00002126,0.00004277812,0.9964408,0.0006095656],"study_design_scores_gemma":[0.000378604,0.00008037902,0.00004916796,0.0003796931,0.0009466274,0.00006811089,0.00002182984,0.00005967108,0.00002282929,0.0004125257,0.9963217,0.001258872],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00001320665,0.002254018,0.000002944239,0.0001047431,0.003904139,0.0007304499,0.9911261,0.000970415,0.0008939384],"genre_scores_gemma":[0.000004167186,0.0008432715,0.0001145984,0.0002555774,0.001917298,0.00009663053,0.9958706,0.0004190601,0.0004787349],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.5718566,"threshold_uncertainty_score":0.9996623,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07112312723913906,"score_gpt":0.3587931866777667,"score_spread":0.2876700594386276,"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."}}