{"id":"W7083222573","doi":"","title":"Analysis of PMTs, SBPMTs, and VSTs in a Stiff Clay of Quebec","year":2025,"lang":"en","type":"article","venue":"PolyPublie (École Polytechnique de Montréal)","topic":"French Urban and Social Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Deformation (meteorology); Derogation; Welding; Debris; Compression (physics)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"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":[0.0003511081,0.0003298482,0.0003692153,0.001533159,0.002158969,0.001378172,0.001037757,0.0004954549,0.004350112],"category_scores_gemma":[0.00152513,0.0002237607,0.0004105682,0.003379616,0.000892858,0.000328181,0.0008292194,0.0004983539,0.000403612],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01742092,"about_ca_system_score_gemma":0.007167436,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9913492,"about_ca_topic_score_gemma":0.9953442,"domain_scores_codex":[0.9995419,0.0000763785,0.00001915414,0.00009186333,0.00009241622,0.0001783154],"domain_scores_gemma":[0.9984798,0.0002571724,0.0001658645,0.00004354611,0.0007623064,0.0002914004],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001751398,0.00006934872,0.9827235,0.00003542946,0.0000912895,0.000310563,0.00371418,0.001456592,0.001609397,0.000537108,0.000890556,0.008386913],"study_design_scores_gemma":[0.000002880956,0.00002084899,0.9933397,0.00001231677,0.00001379636,0.00002024163,0.003658466,0.001931515,0.0001124318,0.00002164035,0.0008582523,0.000007911617],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9970481,0.0000605257,0.0002030487,0.00005415636,0.000002142651,0.00001320061,0.001065858,0.000009797022,0.00154322],"genre_scores_gemma":[0.9972191,0.00002665622,0.0001350664,0.0000165208,0.000001319772,0.000008745937,0.0004984823,0.000005296964,0.002088951],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01742092,"threshold_uncertainty_score":0.1263983,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01199402887651384,"score_gpt":0.2553981064605826,"score_spread":0.2434040775840687,"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."}}