{"id":"W2811165925","doi":"","title":"Monographie de l'industrie du homard au Québec / rédaction et coordination, Ministère de l'agriculture, des pêcheries et de l'alimentation du Québec (MAPAQ), Sous-ministériat aux pêches et à l'aquaculture commerciales, Direction des analyses et des politiques des pêches et de l'aquaculture","year":2015,"lang":"fr","type":"article","venue":"","topic":"Botanical Research and Applications","field":"Agricultural and Biological Sciences","cited_by":5,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Political science; Philosophy","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","scholarly_communication"],"consensus_categories":["sts"],"category_scores_codex":[0.003477603,0.0009365029,0.0007688584,0.0001231508,0.002960074,0.001466032,0.0007258322,0.001089041,0.0003119517],"category_scores_gemma":[0.003711872,0.0005316318,0.0005685589,0.001865027,0.003848338,0.002170969,0.0002446145,0.001114147,0.00005438071],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004503038,"about_ca_system_score_gemma":0.004553054,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.781168,"about_ca_topic_score_gemma":0.9578003,"domain_scores_codex":[0.992147,0.003541112,0.0009316323,0.0009693779,0.0007406296,0.001670283],"domain_scores_gemma":[0.9943032,0.001802958,0.0005177874,0.0002457046,0.001693597,0.001436786],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005006001,0.002731502,0.7173915,0.0002309871,0.0005961525,0.0000274984,0.04500087,0.0003841731,0.0974572,0.04612242,0.06894545,0.02061163],"study_design_scores_gemma":[0.0008496267,0.001241126,0.7997146,0.0003662509,0.0004484194,0.0002311583,0.05989814,0.000190364,0.02554091,0.02948907,0.08093819,0.001092171],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.882643,0.004589771,0.004161006,0.1028103,0.00008072937,0.0007464345,0.0003551675,0.0004082179,0.004205388],"genre_scores_gemma":[0.970137,0.008158847,0.008708159,0.003182222,0.0005711649,0.0004663043,0.0008778845,0.0000330176,0.007865408],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1766323,"threshold_uncertainty_score":0.9997135,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1530623985772787,"score_gpt":0.3884356441543764,"score_spread":0.2353732455770978,"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."}}