{"id":"W2974192956","doi":"","title":"Osobennosti razrabotki vodoplavausih zalezej","year":2004,"lang":"hr","type":"article","venue":"","topic":"Maritime Transport Emissions and Efficiency","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Ontario Association of Optometrists","funders":"","keywords":"Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000225903,0.0003589128,0.0004269083,0.0008439296,0.001537031,0.002609198,0.0002444721,0.0003634759,0.01170847],"category_scores_gemma":[0.000393809,0.0001801116,0.0002572766,0.0008731476,0.0009321772,0.0007454057,0.001488251,0.001276106,0.001741678],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001104345,"about_ca_system_score_gemma":0.002612979,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00996946,"about_ca_topic_score_gemma":0.02470825,"domain_scores_codex":[0.9998072,0.00002815237,0.00001528302,0.00003880891,0.00005045433,0.00006023305],"domain_scores_gemma":[0.9998947,0.00001362872,0.0000205298,0.00001656364,0.00003195041,0.000022602],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.001635786,0.0003520122,0.03211487,0.002568867,0.0001913488,0.002257552,0.01586969,0.003379349,0.03339506,0.3501573,0.03808308,0.5199951],"study_design_scores_gemma":[0.00003304077,0.0002353751,0.03581485,0.0004324238,0.00008919358,0.00104511,0.006535432,0.0003070564,0.00420838,0.01573496,0.9355078,0.00005640851],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5435011,0.02493949,0.01430923,0.006703963,0.001569395,0.0001377606,0.00419748,0.001055918,0.4035857],"genre_scores_gemma":[0.8801638,0.01257229,0.009071647,0.0004169548,0.0001958921,0.00007979099,0.001488965,0.0003722858,0.09563832],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01170847,"threshold_uncertainty_score":0.03916872,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007172732610190499,"score_gpt":0.2064390655372955,"score_spread":0.199266332927105,"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."}}