{"id":"W7100045289","doi":"","title":"CNA’s Integrated Ship Database Fourth Quarter CY 2012 Update","year":2014,"lang":"en","type":"article","venue":"","topic":"Plant Physiology and Cultivation Studies","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Identification (biology); Data collection; Work (physics); Database application","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":[0.002475066,0.001300703,0.001583782,0.01024354,0.0007526163,0.004617764,0.002463649,0.001287475,0.1346631],"category_scores_gemma":[0.01309416,0.0006841003,0.001273072,0.01317504,0.0003237737,0.003562837,0.002359624,0.001327369,0.133911],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002618513,"about_ca_system_score_gemma":0.008900749,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.08569654,"about_ca_topic_score_gemma":0.06306541,"domain_scores_codex":[0.9983141,0.0001507595,0.0003328237,0.0001731817,0.0008545594,0.0001744629],"domain_scores_gemma":[0.9902031,0.001074645,0.0006490774,0.001422579,0.006032005,0.0006184296],"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":[0.000120724,0.00001704731,0.0007418743,0.0003197986,0.00002184916,0.00002700367,0.00001221183,0.0001232419,0.00008349952,0.0003143644,0.9668524,0.03136592],"study_design_scores_gemma":[0.00004029647,0.000008323826,0.003447069,0.0002290782,0.00004516637,0.00006759119,0.00002164316,0.0002566844,0.0002271776,0.0003570842,0.9952818,0.00001820433],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001715901,0.004064307,0.002117465,0.002451459,0.0018155,0.0001501792,0.9364603,0.006398323,0.04482656],"genre_scores_gemma":[0.004693204,0.004568276,0.003659052,0.001064345,0.0004588328,0.0002426641,0.9344711,0.002085313,0.04875717],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1346631,"threshold_uncertainty_score":0.4504929,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02649564688101593,"score_gpt":0.2212093472678038,"score_spread":0.1947137003867878,"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."}}