{"id":"W1873242787","doi":"10.7202/018461ar","title":"La grande inconnue","year":2008,"lang":"fr","type":"article","venue":"Revue des sciences de l eau","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Chicoutimi","funders":"","keywords":"Humanities; Geography; Forestry; Political science; Art","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts","insufficient_payload"],"consensus_categories":["sts","insufficient_payload"],"category_scores_codex":[0.001077616,0.0001675848,0.0001883792,0.00006418728,0.001812637,0.00004073824,0.0004996296,0.0001292996,0.001279926],"category_scores_gemma":[0.00009246299,0.0001577085,0.00008209414,0.0004984371,0.01493067,0.0004578796,0.0003436231,0.000190226,0.002047213],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001984804,"about_ca_system_score_gemma":0.00002736079,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002161575,"about_ca_topic_score_gemma":0.0009470466,"domain_scores_codex":[0.9982708,0.0002751252,0.0001852542,0.0004204339,0.0001941527,0.0006542346],"domain_scores_gemma":[0.9994767,0.0001483141,0.00006717548,0.0001744309,0.000005915859,0.0001274177],"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":[0.00003093739,0.0003688199,0.851212,0.0002641979,0.00008387658,0.00150553,0.03229563,0.04028681,0.0007355663,0.02101691,0.02481217,0.02738752],"study_design_scores_gemma":[0.0010661,0.0009085024,0.4123487,0.0003501093,0.0001591654,0.003107018,0.001422034,0.06557129,0.0006490916,0.09250897,0.4207716,0.001137448],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7362211,0.003519667,0.002635642,0.005295814,0.0006070576,0.0001546154,0.000005984888,0.00007225324,0.2514879],"genre_scores_gemma":[0.9678139,0.005055798,0.009266828,0.0007094775,0.0001147203,0.00001235754,7.453077e-7,0.000007706399,0.01701844],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4388634,"threshold_uncertainty_score":0.999633,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06917463764599358,"score_gpt":0.2828395512018014,"score_spread":0.2136649135558079,"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."}}