{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts"],"consensus_categories":["sts"],"category_scores_codex":[0.001311576,0.0004102941,0.0008959589,0.000240693,0.001865277,0.0008984576,0.0005124168,0.0004300778,0.000181381],"category_scores_gemma":[0.0007296061,0.0004076264,0.00008393727,0.001559031,0.008591656,0.0008120954,0.0008800066,0.0007290404,0.00004027712],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007989742,"about_ca_system_score_gemma":0.003067188,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8505124,"about_ca_topic_score_gemma":0.5467097,"domain_scores_codex":[0.9967313,0.0002448317,0.0005519497,0.0007639097,0.000646063,0.001061949],"domain_scores_gemma":[0.9973959,0.001568431,0.0001394,0.0001986123,0.0001167394,0.0005809121],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000003077745,0.00002085763,0.5493866,0.00007683985,0.0001532306,0.00001007626,0.03894811,3.988596e-7,0.00000736292,0.2399467,0.00241577,0.169031],"study_design_scores_gemma":[0.0002042568,0.000164052,0.3262193,0.0002064173,0.0002465905,0.000002988848,0.009480449,0.0000203805,0.00007572834,0.01610206,0.6468995,0.0003783133],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.86665,0.0676327,0.0000604994,0.01999329,0.002692873,0.000400438,0.00005146011,0.0002200439,0.04229868],"genre_scores_gemma":[0.9854485,0.002675774,0.0004870466,0.00008113948,0.005256856,0.000006660955,0.000004310623,0.00003369738,0.006005998],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6444837,"threshold_uncertainty_score":0.9998376,"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."}}