{"id":"W7065742418","doi":"","title":"Dynamique dâun glissement de terrain et la reconstruction de sa chronologie prÃ¨s de la ville de Fort McPherson, Territoires du Nord-Ouest","year":2011,"lang":"fr","type":"other","venue":"Library and Archives Canada (Government of Canada)","topic":"Astrophysical Phenomena and Observations","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Terrain; Motion study; Rail transportation","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":[0.0001509269,0.0002578476,0.0001459205,0.001791514,0.001092788,0.001336407,0.0003124629,0.0002781962,0.004258265],"category_scores_gemma":[0.0003196092,0.000289248,0.0001855577,0.002869814,0.00072591,0.0005820456,0.0005062773,0.0003551451,0.0004582336],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00191287,"about_ca_system_score_gemma":0.001127924,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2299,"about_ca_topic_score_gemma":0.6072811,"domain_scores_codex":[0.9999051,0.000005172122,0.000002762535,0.00002994984,0.00003830003,0.00001876796],"domain_scores_gemma":[0.9998298,0.00003019087,0.00004797976,0.00001474532,0.00005304456,0.00002423486],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004915633,0.0000577428,0.7012494,0.0005713676,0.0001444788,0.003694528,0.01772162,0.01540041,0.07400001,0.004745393,0.00392785,0.1779956],"study_design_scores_gemma":[0.00000403218,0.00002282301,0.9761303,0.00005930174,0.00001345858,0.0002936757,0.002785993,0.001695197,0.00119368,0.0002056678,0.01757503,0.00002093443],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9830834,0.0008432281,0.001483216,0.0001758334,0.00001976344,0.00001941167,0.001199653,0.0001053168,0.01307018],"genre_scores_gemma":[0.9837102,0.0005984519,0.003036733,0.00002105564,0.000009697884,0.00001899118,0.000918475,0.00004642925,0.01164],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7701,"threshold_uncertainty_score":0.4571238,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003172449822641651,"score_gpt":0.1616902588404234,"score_spread":0.1585178090177818,"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."}}