{"id":"W4250691213","doi":"10.21236/ada591534","title":"CNA's Integrated Ship Database: Third Quarter CY 2012 Update","year":2013,"lang":"en","type":"report","venue":"","topic":"Maritime Transport Emissions and Efficiency","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Database; Quarter (Canadian coin); Computer science; Geography; Archaeology","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":[],"consensus_categories":[],"category_scores_codex":[0.003582603,0.001745062,0.001402692,0.01308709,0.0007493225,0.004194967,0.00283664,0.001204317,0.05440437],"category_scores_gemma":[0.01278359,0.0009919675,0.001146098,0.02302441,0.0002935628,0.002961359,0.001725412,0.001309488,0.06057785],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004764982,"about_ca_system_score_gemma":0.01548176,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3274191,"about_ca_topic_score_gemma":0.2863672,"domain_scores_codex":[0.9970748,0.0001935213,0.0004355932,0.0002517416,0.001798035,0.0002462607],"domain_scores_gemma":[0.9862961,0.0009254049,0.0008386277,0.001042578,0.01032796,0.0005692564],"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":[0.00008949539,0.00002990496,0.001935106,0.0002002782,0.00002179956,0.00001828511,0.00001261805,0.0002274716,0.00005634788,0.0002231902,0.9756825,0.02150316],"study_design_scores_gemma":[0.00004985196,0.00001449038,0.02255843,0.0002495167,0.00006994008,0.00007040948,0.00004022477,0.0004716399,0.0003996634,0.0002320877,0.9758159,0.00002775256],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.001576345,0.00148091,0.0007009439,0.0008388481,0.0006216146,0.0001375553,0.9750229,0.001169909,0.01845096],"genre_scores_gemma":[0.003132524,0.002623827,0.001703717,0.0003336625,0.0001992288,0.0002493081,0.9512597,0.0005145581,0.03998354],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.3274191,"threshold_uncertainty_score":0.6510267,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02003133846424036,"score_gpt":0.2531088142142637,"score_spread":0.2330774757500234,"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."}}