{"id":"W7098264063","doi":"","title":"MATERIAL AND METHODS Site Descriptions and Sampling","year":2014,"lang":"en","type":"article","venue":"","topic":"Diverse Scientific and Economic Studies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Sampling (signal processing); Focus (optics); Data set; Biomass (ecology); Cruise; Arctic","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002437647,0.001515452,0.001930586,0.005556169,0.003925422,0.001910583,0.005058354,0.001266199,0.04997077],"category_scores_gemma":[0.001600611,0.0007151731,0.0005379256,0.007758674,0.001470507,0.000869725,0.002127715,0.0015165,0.02685123],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002338965,"about_ca_system_score_gemma":0.004205028,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07423968,"about_ca_topic_score_gemma":0.1824675,"domain_scores_codex":[0.9981886,0.0003144087,0.0001723478,0.0004375329,0.0005808474,0.0003064426],"domain_scores_gemma":[0.9981061,0.0001521333,0.0001803911,0.0004905761,0.0007077826,0.0003628867],"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":[0.003078052,0.00408728,0.1354522,0.003920759,0.000254599,0.006068118,0.009801866,0.00766765,0.01864144,0.01865508,0.432532,0.3598408],"study_design_scores_gemma":[0.0003252622,0.000852654,0.14253,0.001035333,0.0001266954,0.001056489,0.006953909,0.002319727,0.001607232,0.00812109,0.8348083,0.0002632171],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.2040934,0.00791766,0.05609284,0.001304687,0.001149639,0.1019533,0.458698,0.002462547,0.166328],"genre_scores_gemma":[0.281446,0.008944144,0.2129142,0.002664314,0.0009124905,0.1126306,0.2786323,0.001299888,0.1005561],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.9500293,"threshold_uncertainty_score":0.1671689,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07848191010330872,"score_gpt":0.2662490396580623,"score_spread":0.1877671295547536,"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."}}