{"id":"W4406424860","doi":"10.1016/0967-0653(95)94534-w","title":"10.1016/0967-0653(95)94534-w","year":2000,"lang":"en","type":"article","venue":"Time to knit","topic":"Maritime Transport Emissions and Efficiency","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Whaling; Commission; Political science; Fishery; Law; Biology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001054287,0.002891218,0.0017839,0.002727783,0.002901829,0.003602176,0.003458728,0.006244143,0.990501],"category_scores_gemma":[0.001864414,0.001130066,0.001450062,0.002362443,0.002183517,0.00527918,0.003233929,0.002453085,0.9929588],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001039445,"about_ca_system_score_gemma":0.0008878316,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006032504,"about_ca_topic_score_gemma":0.00513997,"domain_scores_codex":[0.9994264,0.00003896606,0.00005009267,0.000197737,0.0001480273,0.0001388891],"domain_scores_gemma":[0.9978708,0.0005344322,0.0001143204,0.0002246025,0.0004854563,0.0007704033],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003814751,0.0003311008,0.001131903,0.0006738346,0.00004043185,0.0003049975,0.0001510682,0.0004314456,0.002471594,0.00451859,0.4255914,0.5639722],"study_design_scores_gemma":[0.000058988,0.0001505503,0.001030385,0.0003621584,0.00001644325,0.0003415243,0.0001704953,0.0001551257,0.0003554591,0.0006179755,0.996716,0.00002500383],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0004847738,0.0003116745,0.0005373169,0.0003858402,0.0002596882,0.0001171459,0.0006653126,0.0007366136,0.9965016],"genre_scores_gemma":[0.0006032939,0.0001827109,0.0003031125,0.0002316564,0.00006482715,0.00005510457,0.0003568109,0.0001436774,0.9980587],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.009498954,"threshold_uncertainty_score":0.01354903,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00413002943639796,"score_gpt":0.1582793069518788,"score_spread":0.1541492775154808,"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."}}