{"id":"W2020325215","doi":"10.1051/kmae:2003020","title":"REPEUPLEMENTS EN ALEVINS NOURRIS ET DÉMOGRAPHIE DE LA POPULATION DE TRUITE (SALMO TRUTTA L.) DANS LE REDON, UN AFFLUENT DU LAC LÉMAN INTERROMPU PAR UN OBSTACLE","year":2003,"lang":"fr","type":"article","venue":"Bulletin Français de la Pêche et de la Pisciculture","topic":"Transboundary Water Resource Management","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Shipping Federation of Canada","funders":"","keywords":"Salmo; Population; Humanities; Geography; Art; Fish <Actinopterygii>; Forestry; Biology; Fishery; Demography","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","scholarly_communication","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.009314845,0.0008272899,0.0006882821,0.0002202792,0.001418116,0.001061627,0.001169621,0.001182233,0.001399301],"category_scores_gemma":[0.0006458535,0.0008191813,0.0006085761,0.0009586068,0.001490474,0.0002628469,0.0002370076,0.00156464,0.00008511337],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000872776,"about_ca_system_score_gemma":0.0002847932,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02626188,"about_ca_topic_score_gemma":0.005942119,"domain_scores_codex":[0.9809535,0.01441771,0.0009030313,0.001117494,0.0009560782,0.00165224],"domain_scores_gemma":[0.9971042,0.0009870799,0.0004283144,0.0007357717,0.0001093885,0.0006351912],"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":[0.0001357053,0.002001367,0.5288233,0.0003685062,0.000885028,0.0007468165,0.3228393,0.005239271,0.001378359,0.05268193,0.08109432,0.0038061],"study_design_scores_gemma":[0.001745616,0.00009431118,0.2808897,0.0002886753,0.0003296636,0.0001505328,0.006575835,0.00005929903,0.0006423318,0.003054562,0.705487,0.0006825802],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9089854,0.003402259,0.004813549,0.04002494,0.0005268902,0.001183138,0.0001924044,0.0003832555,0.04048811],"genre_scores_gemma":[0.9760419,0.001526799,0.01305342,0.003485864,0.0003888401,0.0001836768,0.0001449748,0.0001581287,0.005016423],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6243926,"threshold_uncertainty_score":0.9999754,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004759453416129627,"score_gpt":0.2569905936287275,"score_spread":0.2522311402125979,"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."}}