{"id":"W6917594911","doi":"10.57745/i75f5m","title":"rmqs1_biomass.tab","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":"Value (mathematics); Identification (biology); Yield (engineering); Biomass (ecology)","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":["research_integrity"],"category_scores_codex":[0.009939814,0.001242404,0.001379049,0.0005868005,0.0002125513,0.0003173329,0.01218266,0.003471528,0.000446188],"category_scores_gemma":[0.01233108,0.001280797,0.0002013163,0.003816793,0.0003866304,0.0008439635,0.004866712,0.005193117,0.5100781],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009356101,"about_ca_system_score_gemma":0.001065584,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007653105,"about_ca_topic_score_gemma":0.003417381,"domain_scores_codex":[0.9905028,0.002274174,0.001095224,0.003110375,0.001512674,0.001504787],"domain_scores_gemma":[0.9803358,0.002489245,0.0008078631,0.01571774,0.0002416568,0.0004076443],"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":[0.00004507157,0.0001653262,0.000008402447,0.0005488759,0.0002886321,0.0002359866,0.00001356287,0.000001792467,0.0001968811,0.000002636917,0.9957264,0.002766422],"study_design_scores_gemma":[0.0006077304,0.00003746141,0.0001479666,0.000499282,0.0002965007,0.00003301084,0.0000220368,0.0001166495,0.00007091061,0.0002149773,0.996554,0.001399488],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000005319645,0.002815331,0.00005026791,0.0003311411,0.002542213,0.0008634828,0.9919632,0.001208002,0.0002210477],"genre_scores_gemma":[1.144783e-7,0.003977822,0.003648511,0.0003919005,0.00231476,0.0001605589,0.9822451,0.0005500591,0.006711144],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.5096319,"threshold_uncertainty_score":0.9989642,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5655294369485669,"score_gpt":0.4764388207274421,"score_spread":0.0890906162211248,"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."}}