{"id":"W6887713244","doi":"10.17600/18001062","title":"APPEAL ATL 19-2 cruise,Côtes De La Manche R/V","year":2019,"lang":"fr","type":"other","venue":"Institut Français de Recherche pour l'Exploitation de la Mer","topic":"Text and Document Classification Technologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Nova scotia; Appeal; Western europe; Settlement (finance)","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":[0.000516018,0.000381283,0.0003155867,0.0007857748,0.001015089,0.001455491,0.000707285,0.0006477266,0.03371116],"category_scores_gemma":[0.001030523,0.0003700317,0.0005981518,0.001080571,0.0005267541,0.0007379688,0.001054178,0.001292296,0.007429737],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001943897,"about_ca_system_score_gemma":0.003650089,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2817841,"about_ca_topic_score_gemma":0.4874416,"domain_scores_codex":[0.9995982,0.00002417155,0.000007486904,0.0001000223,0.0001928029,0.00007729032],"domain_scores_gemma":[0.9993207,0.00008961047,0.00004415237,0.0000637254,0.0003603438,0.0001213349],"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":[0.003948018,0.0004669348,0.1494852,0.001690255,0.0003174483,0.003164544,0.007134593,0.01736932,0.138562,0.02212966,0.2617697,0.3939624],"study_design_scores_gemma":[0.0001323152,0.0005543109,0.2454111,0.0001940995,0.00003941242,0.0002903201,0.002402142,0.005699019,0.005801554,0.001540914,0.7378457,0.00008904361],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.4607315,0.001356693,0.0283768,0.002373595,0.0007573048,0.001319774,0.04690682,0.005892305,0.4522852],"genre_scores_gemma":[0.5658,0.0007615808,0.04046204,0.0008261388,0.000146691,0.0007294864,0.04185429,0.002299336,0.3471205],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.2817841,"threshold_uncertainty_score":0.5602879,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.12242737919141,"score_gpt":0.3693388501642432,"score_spread":0.2469114709728332,"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."}}