{"id":"W3042036652","doi":"10.4095/326159","title":"EO baseline data for cumulative effects, year end report (FY 2019/20)","year":2020,"lang":"en","type":"report","venue":"","topic":"Calibration and Measurement Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Natural Resources Canada","funders":"","keywords":"Baseline (sea); Statistics; Environmental science; Mathematics; Geology","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":[0.00378228,0.001038708,0.0006605441,0.003418478,0.0007988362,0.001608901,0.001431179,0.001230433,0.0453459],"category_scores_gemma":[0.005761296,0.0004312244,0.0006815,0.003232802,0.0002102687,0.00137286,0.0009115109,0.001337627,0.02051465],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004074559,"about_ca_system_score_gemma":0.01454149,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3152676,"about_ca_topic_score_gemma":0.3612364,"domain_scores_codex":[0.9978429,0.0001603533,0.00009493736,0.0001563009,0.001359663,0.0003858934],"domain_scores_gemma":[0.9960295,0.0002833484,0.0002507803,0.000190484,0.003029855,0.0002160596],"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":[0.0004279629,0.0002117779,0.003660993,0.0002322552,0.00002569626,0.00003327388,0.00003667196,0.0006675499,0.0003441063,0.001243099,0.9756768,0.01743977],"study_design_scores_gemma":[0.0002707292,0.0001881876,0.06796385,0.0002544386,0.00005574933,0.00004606873,0.0002378431,0.0005750288,0.001248076,0.0009653418,0.9281572,0.000037401],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.003762937,0.0003090633,0.0007675742,0.000679575,0.0005382768,0.0002847214,0.9549616,0.0003240186,0.03837211],"genre_scores_gemma":[0.01930707,0.0007720605,0.003124438,0.0008202743,0.0001390466,0.001185409,0.8073387,0.0002033308,0.1671097],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.3152676,"threshold_uncertainty_score":0.626865,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09160754888239418,"score_gpt":0.3327934407559172,"score_spread":0.241185891873523,"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."}}