{"id":"W7008349215","doi":"","title":"Building marine industries between science, ecology and territories : a comparison between Brittany, Québec and New Brunswick","year":2024,"lang":"fr","type":"article","venue":"theses.fr (ABES)","topic":"French Urban and Social Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Marine conservation; Environmental policy; Public policy; Bioprospecting","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":["sts"],"consensus_categories":[],"category_scores_codex":[0.001043576,0.0003953241,0.0003318796,0.004512028,0.007548308,0.006960917,0.001308893,0.00063053,0.01291884],"category_scores_gemma":[0.002671773,0.0003225819,0.0003925545,0.008515594,0.00543342,0.002063251,0.003449466,0.0009477612,0.0004297065],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0907073,"about_ca_system_score_gemma":0.07252067,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9890339,"about_ca_topic_score_gemma":0.997481,"domain_scores_codex":[0.9983419,0.0001724162,0.00007184027,0.0001629895,0.0005314806,0.0007192353],"domain_scores_gemma":[0.9975473,0.0004537537,0.0002807949,0.00009737552,0.0008732483,0.000747594],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.0003583898,0.0002379481,0.4793965,0.001469933,0.0002605407,0.003531249,0.2219647,0.00238295,0.005831936,0.08414903,0.01744951,0.1829673],"study_design_scores_gemma":[0.00001385411,0.00004818426,0.68651,0.0007312471,0.00005006482,0.0001707655,0.2172232,0.0004393326,0.0003799747,0.0008386212,0.09351968,0.00007516631],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8292694,0.006789736,0.000766824,0.006584645,0.0001059192,0.0002538438,0.001309632,0.00003275052,0.1548872],"genre_scores_gemma":[0.9694943,0.003113438,0.000544722,0.000615348,0.000007539689,0.00007695104,0.0004427876,0.00002441201,0.02568044],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9924517,"threshold_uncertainty_score":0.6581306,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06875930192606114,"score_gpt":0.3196075404284062,"score_spread":0.2508482385023451,"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."}}