{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003046433,0.002863087,0.002623564,0.00367946,0.0009484477,0.002899333,0.003824455,0.001789412,0.2566587],"category_scores_gemma":[0.01511094,0.001697643,0.0022378,0.004008035,0.0008294521,0.001939152,0.001798813,0.002305571,0.2132233],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001157263,"about_ca_system_score_gemma":0.001934989,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01130278,"about_ca_topic_score_gemma":0.016028,"domain_scores_codex":[0.9981274,0.0005030119,0.0001287742,0.0007243806,0.0002515771,0.000264943],"domain_scores_gemma":[0.9928207,0.004150945,0.0004431986,0.001674271,0.0006073063,0.0003035601],"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":[0.00008334674,0.00001621507,0.001509668,0.0008479725,0.0001262999,0.00003378737,0.00003905832,0.0007028068,0.0002484577,0.000672193,0.9927101,0.00301005],"study_design_scores_gemma":[0.0006765667,0.00005136219,0.008405608,0.0004670864,0.0002303604,0.0002293768,0.00008353818,0.002396463,0.001724203,0.007094512,0.9784934,0.000147492],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"software","genre_scores_codex":[0.0002597001,0.00007236814,0.001186695,0.00009631878,0.0000403578,0.00002573261,0.9909238,0.006137378,0.00125766],"genre_scores_gemma":[0.003442029,0.0001405077,0.004529479,0.0003095047,0.00004710092,0.0006273374,0.97629,0.01105608,0.003557959],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.2566587,"threshold_uncertainty_score":0.8586089,"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."}}