{"id":"W4242553485","doi":"10.21236/ada611093","title":"CNA's Integrated Ship Database: First 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":true,"ca_institutions":"","funders":"","keywords":"Database; Quarter (Canadian coin); 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":[0.00528305,0.00145624,0.001441177,0.01448599,0.0009846963,0.005976139,0.003658929,0.001342952,0.06157461],"category_scores_gemma":[0.0207297,0.001158566,0.001160877,0.02656404,0.0004136963,0.003932317,0.002225162,0.001745393,0.05839719],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008119177,"about_ca_system_score_gemma":0.02079576,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3793806,"about_ca_topic_score_gemma":0.2964792,"domain_scores_codex":[0.9953505,0.0002959849,0.0007272301,0.0003322919,0.002954853,0.0003390815],"domain_scores_gemma":[0.9775386,0.00121344,0.001424121,0.00161027,0.01730582,0.0009077605],"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":[0.00006173832,0.00001680005,0.001072525,0.0001513802,0.00001542327,0.0000139545,0.0000120188,0.000104939,0.0000356628,0.0002391689,0.9847691,0.01350734],"study_design_scores_gemma":[0.0000454905,0.00001024473,0.01603526,0.0003346256,0.00003786019,0.00005069303,0.00004276666,0.000304977,0.0003089388,0.000250457,0.9825491,0.00002959914],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001255686,0.001330228,0.0007402875,0.001735556,0.0009375002,0.0001557543,0.9692206,0.001787979,0.02283646],"genre_scores_gemma":[0.003587901,0.002570928,0.00163021,0.000566597,0.0002552418,0.0002566226,0.9624808,0.0008875666,0.02776418],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.3793806,"threshold_uncertainty_score":0.7543446,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01634676903870064,"score_gpt":0.2423687339326736,"score_spread":0.226021964893973,"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."}}