{"id":"W7055989546","doi":"","title":"Distribution et abondance des larves d'Ã©perlan arc-en-ciel (Osmerus mordax) au lac Saint-Jean","year":2005,"lang":"fr","type":"other","venue":"Library and Archives Canada (Government of Canada)","topic":"Laser Design and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Environmental factor; Statistical analysis; Distribution (mathematics); Zea mays","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002558227,0.0002568004,0.0002644848,0.0009398194,0.0005039887,0.0005437738,0.0002881479,0.000351041,0.002316512],"category_scores_gemma":[0.0002536456,0.0001560148,0.0002505735,0.000451293,0.000312522,0.0002259997,0.0003067404,0.0003548449,0.001003557],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001489631,"about_ca_system_score_gemma":0.0003425701,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03712657,"about_ca_topic_score_gemma":0.0820536,"domain_scores_codex":[0.9997274,0.00002269783,0.000009740995,0.0001051712,0.00008316438,0.00005168474],"domain_scores_gemma":[0.9993463,0.0001156602,0.0001562622,0.00001835955,0.0002560379,0.0001073796],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.001052798,0.00008483401,0.3994173,0.0002120679,0.000162635,0.0006835472,0.001932089,0.0005766804,0.56291,0.0002725926,0.0008653047,0.03183018],"study_design_scores_gemma":[0.000006357037,0.0002603423,0.9869577,0.00001469057,0.00001946075,0.0001109289,0.0005106392,0.000203174,0.008970642,0.00001165395,0.002926133,0.000008307579],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9945445,0.0005427747,0.0001523896,0.00002513705,0.000006560093,0.00001090623,0.0007126665,0.00001960558,0.003985554],"genre_scores_gemma":[0.9846252,0.0006441353,0.0006532851,0.00008488548,0.00001106402,0.00004550509,0.001983443,0.00002577298,0.01192668],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03712657,"threshold_uncertainty_score":0.07382095,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003313494271759835,"score_gpt":0.1499964718238676,"score_spread":0.1466829775521077,"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."}}