{"id":"W4241747781","doi":"10.21236/ada569635","title":"CNA's Integrated Ship Database, Fourth Quarter 2011 Update","year":2012,"lang":"en","type":"report","venue":"","topic":"Maritime Transport Emissions and Efficiency","field":"Environmental Science","cited_by":2,"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":[0.003466575,0.001805369,0.001305026,0.01249189,0.000794955,0.004555638,0.002738185,0.001206276,0.05153693],"category_scores_gemma":[0.01270284,0.001196666,0.001008148,0.0252104,0.0002989421,0.003566077,0.001404141,0.001306488,0.06180644],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005669766,"about_ca_system_score_gemma":0.01780699,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3872758,"about_ca_topic_score_gemma":0.3576319,"domain_scores_codex":[0.9970188,0.0001880918,0.0005073997,0.0002575796,0.001787634,0.0002404664],"domain_scores_gemma":[0.9872656,0.0009802071,0.0007873144,0.001027607,0.00949462,0.0004446524],"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":[0.00008066597,0.00003433601,0.002083361,0.0002245121,0.00002045352,0.00001865025,0.00001492596,0.0003856877,0.00005383525,0.0002808041,0.9802648,0.01653797],"study_design_scores_gemma":[0.00005534954,0.00001515075,0.02546573,0.0002326097,0.00006819196,0.00007066727,0.00005021934,0.0005576084,0.0004208088,0.0002476557,0.9727842,0.00003183131],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001166851,0.0007113873,0.0004095988,0.000438583,0.0003101338,0.00008312637,0.981869,0.0006862886,0.0143251],"genre_scores_gemma":[0.002006661,0.001434162,0.001227156,0.0001665226,0.0000802996,0.0001630263,0.9641175,0.0002623904,0.03054224],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.3872758,"threshold_uncertainty_score":0.7700432,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03544656765940904,"score_gpt":0.2561979867600085,"score_spread":0.2207514191005994,"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."}}