{"id":"W6987800547","doi":"","title":"Utilisation de systÃ¨mes d'information gÃ©ographique pour l'Ã©valuation des risques liÃ©s Ã  la dÃ©gradation du pergÃ©lisol. Ãtude de cas : Tasiujaq, Nunavik, QuÃ©bec","year":2014,"lang":"fr","type":"other","venue":"Library and Archives Canada (Government of Canada)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Context (archaeology); Poison control; Agrégation; Pilotage","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.001448709,0.000981098,0.0007702216,0.003516344,0.0007573828,0.002869667,0.0008684311,0.001243798,0.0184723],"category_scores_gemma":[0.002502883,0.0004976642,0.0008673019,0.002987272,0.0004954313,0.001620604,0.0008182334,0.0009669684,0.004418305],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002638559,"about_ca_system_score_gemma":0.003405188,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07729456,"about_ca_topic_score_gemma":0.1083337,"domain_scores_codex":[0.9987223,0.0001894125,0.00005542971,0.0002497747,0.0006906808,0.00009240978],"domain_scores_gemma":[0.9976927,0.0006153629,0.0002581557,0.0001401022,0.001225685,0.00006795255],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.001137628,0.0002600155,0.0468105,0.005310591,0.0003524725,0.0008478349,0.002158016,0.03473265,0.1343463,0.01311315,0.0327263,0.7282047],"study_design_scores_gemma":[0.0001668037,0.001410573,0.1063558,0.002564227,0.0009492228,0.0009330545,0.00561971,0.1016183,0.2510846,0.01360885,0.5149261,0.000762762],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.3408377,0.04163907,0.3328376,0.007497241,0.003196646,0.001512585,0.02944555,0.01097117,0.2320624],"genre_scores_gemma":[0.751838,0.01924492,0.1181374,0.0009978046,0.0001555048,0.0005837274,0.007353843,0.0008103062,0.1008785],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9227054,"threshold_uncertainty_score":0.1536893,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004705694647365889,"score_gpt":0.164666016699475,"score_spread":0.1599603220521091,"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."}}