{"id":"W4236587266","doi":"10.21236/ada570979","title":"CNA's Integrated Ship Database: Second Quarter 2012 Update","year":2013,"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":"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":[0.003535209,0.001905196,0.001511664,0.01253867,0.0007298194,0.0040045,0.002895798,0.001222148,0.05275825],"category_scores_gemma":[0.01287752,0.001069723,0.001197874,0.02365412,0.000308214,0.002957693,0.001598656,0.001369082,0.06249785],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004814884,"about_ca_system_score_gemma":0.01546026,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3331195,"about_ca_topic_score_gemma":0.3069904,"domain_scores_codex":[0.9967228,0.0002021327,0.0004818606,0.0002825767,0.002041146,0.0002695795],"domain_scores_gemma":[0.9855195,0.001020234,0.0009225602,0.001067657,0.01090002,0.000570098],"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":[0.00008173527,0.0000303032,0.002025378,0.0002104528,0.00002424015,0.00001733951,0.00001248573,0.0002605985,0.0000513762,0.0002119134,0.9797791,0.01729512],"study_design_scores_gemma":[0.00005474478,0.0000161948,0.02489216,0.0002605386,0.00008433658,0.00007084176,0.00004302261,0.0005230359,0.0004482488,0.0002469366,0.9733289,0.00003097443],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001324701,0.001033563,0.0005529504,0.0005916576,0.0004845417,0.0001066996,0.9805752,0.000876016,0.01445478],"genre_scores_gemma":[0.002531405,0.001878688,0.001436898,0.0002579291,0.0001448008,0.0002236853,0.9601174,0.0004096236,0.03299968],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.3331195,"threshold_uncertainty_score":0.662361,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01856892861467819,"score_gpt":0.2464847892882727,"score_spread":0.2279158606735946,"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."}}