{"id":"W2981602101","doi":"10.4095/296203","title":"CCGS vector 2013007PGC cruise report","year":2015,"lang":"en","type":"report","venue":"","topic":"Maritime Transport Emissions and Efficiency","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Natural Resources Canada","funders":"","keywords":"Cruise; Vector (molecular biology); Computer science; Aeronautics; Geography; Biology; Geology; Oceanography; Engineering; Genetics; Gene","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":[0.002454361,0.002791889,0.0009753541,0.006045238,0.001146538,0.002885107,0.002097688,0.001795463,0.08303972],"category_scores_gemma":[0.004794455,0.0009229722,0.001031844,0.006358206,0.0004454046,0.001994273,0.001235208,0.001861409,0.05899888],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006719829,"about_ca_system_score_gemma":0.0276148,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.4458761,"about_ca_topic_score_gemma":0.3093181,"domain_scores_codex":[0.9970328,0.0001928491,0.0001162656,0.0001903459,0.002120718,0.0003470292],"domain_scores_gemma":[0.9953173,0.00023922,0.0002236791,0.0002518927,0.003713083,0.0002548427],"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":[0.0003202283,0.0001090946,0.00110394,0.0002835886,0.00003252272,0.00004272525,0.00003388986,0.001936198,0.0006440906,0.001939449,0.9755949,0.01795945],"study_design_scores_gemma":[0.0001118181,0.00009626454,0.009392276,0.0001795807,0.00003554235,0.00003757011,0.00009798837,0.001515308,0.002656396,0.0009841674,0.9848474,0.00004580637],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.003489224,0.0007628292,0.002834514,0.001214878,0.001478709,0.0009759918,0.8178862,0.001832766,0.1695249],"genre_scores_gemma":[0.01071263,0.001553278,0.00492434,0.000323415,0.0001626694,0.001428502,0.6526666,0.001550225,0.3266783],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.4458761,"threshold_uncertainty_score":0.8865617,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04007483180469538,"score_gpt":0.2927809592544283,"score_spread":0.2527061274497329,"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."}}