{"id":"W7098601831","doi":"","title":"Exchange Rate Fluctuations and Labour Market Adjustments in Canadian Manufacturing Industries","year":2012,"lang":"en","type":"article","venue":"","topic":"Bioactive Natural Diterpenoids Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Manufacturing; Exchange rate; Productivity; Manufacturing sector; Association (psychology)","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":[0.0009136856,0.0002079069,0.0003503795,0.001859766,0.001805482,0.001761916,0.0007900425,0.0007070239,0.004881536],"category_scores_gemma":[0.005560257,0.0002242269,0.00040599,0.004456504,0.0005354254,0.0004559005,0.0005561215,0.001078652,0.0003064797],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01719622,"about_ca_system_score_gemma":0.0114363,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9859473,"about_ca_topic_score_gemma":0.9889748,"domain_scores_codex":[0.9995859,0.00002563435,0.00002095917,0.00004700766,0.0001218206,0.0001986486],"domain_scores_gemma":[0.9983188,0.0003640803,0.0003970861,0.00008474931,0.0005318968,0.0003034382],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001149046,0.0001064631,0.8516735,0.0001277573,0.0002071331,0.0008914329,0.006884809,0.01675317,0.001321475,0.03000751,0.02552579,0.0653518],"study_design_scores_gemma":[0.00001634204,0.00001173513,0.9850047,0.00002166068,0.00002692036,0.00002652656,0.001919167,0.004829227,0.0001153795,0.001060647,0.006936168,0.00003149915],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9805408,0.00173748,0.00019206,0.004483319,0.00004317332,0.00001725934,0.002953318,0.00002309352,0.01000951],"genre_scores_gemma":[0.9952235,0.0008183716,0.00006209681,0.00009061178,0.00001817147,0.000003035484,0.0008987261,0.000007639389,0.002877826],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01719622,"threshold_uncertainty_score":0.1247678,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01730770542766817,"score_gpt":0.2811728829877411,"score_spread":0.2638651775600729,"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."}}