{"id":"W4233520879","doi":"10.21236/ada611085","title":"CNA's Integrated Ship Database: Second Quarter CY 2013 Update","year":2014,"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":"","funders":"","keywords":"Quarter (Canadian coin); Database; Computer science; History; 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":[0.004403649,0.001779132,0.001502785,0.01417015,0.0008553324,0.004427184,0.003293056,0.00125569,0.05745229],"category_scores_gemma":[0.01453872,0.001082214,0.001296058,0.02336869,0.0003477243,0.003343899,0.002080135,0.001439697,0.05732792],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006033214,"about_ca_system_score_gemma":0.02036096,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3753089,"about_ca_topic_score_gemma":0.3072164,"domain_scores_codex":[0.9962797,0.0002300395,0.0005026929,0.0002946099,0.002371479,0.0003214282],"domain_scores_gemma":[0.9834324,0.001028051,0.000914751,0.001128279,0.01280289,0.0006936914],"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":[0.00008336201,0.00002933553,0.001794719,0.0001603517,0.0000218886,0.00001512577,0.00001063103,0.0002234252,0.00004771285,0.0002427953,0.9798627,0.01750777],"study_design_scores_gemma":[0.00005841992,0.00001516423,0.02279354,0.0002452829,0.00006772545,0.00006171638,0.00004518717,0.0005179799,0.0004571058,0.0002993549,0.9754076,0.00003086074],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.001451232,0.001181426,0.0006832991,0.000942146,0.0007139171,0.0001415253,0.9770822,0.001044684,0.01675962],"genre_scores_gemma":[0.002992207,0.00219533,0.001657806,0.0003521735,0.0002102322,0.0002633995,0.9535861,0.0004966319,0.03824616],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.3753089,"threshold_uncertainty_score":0.7462488,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01602823416665184,"score_gpt":0.2457486017884766,"score_spread":0.2297203676218248,"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."}}