{"id":"W2181947635","doi":"10.5558/tfc2011-049","title":"Shock persistence in Canada's forest products markets","year":2011,"lang":"en","type":"article","venue":"The Forestry Chronicle","topic":"Forest Management and Policy","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Natural Resources Canada; Canadian Forest Service","funders":"","keywords":"Economics; Statistic; Shock (circulatory); Persistence (discontinuity); Econometrics; Variance (accounting); Autoregressive model; Statistics; Mathematics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008162794,0.0001169946,0.0002519783,0.001155262,0.001126442,0.00262691,0.0004736482,0.000402775,0.001169559],"category_scores_gemma":[0.004730979,0.00009835717,0.0002566778,0.00253601,0.0008568085,0.0008071139,0.000627621,0.0006570481,0.000054679],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01644328,"about_ca_system_score_gemma":0.01268014,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9550188,"about_ca_topic_score_gemma":0.9559308,"domain_scores_codex":[0.9995193,0.00002781256,0.00002445678,0.00006168769,0.0002177775,0.0001489568],"domain_scores_gemma":[0.9971336,0.0005403067,0.0007490353,0.00009482284,0.001173029,0.0003092219],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003205457,0.0000948526,0.9321621,0.00007446954,0.0001302224,0.0003689575,0.002214604,0.0200732,0.001842695,0.01029213,0.002527819,0.02989845],"study_design_scores_gemma":[0.000008296433,0.00004824151,0.9743382,0.00001662249,0.00002659554,0.00005849254,0.002060391,0.01930331,0.000463983,0.001342071,0.002299277,0.00003449428],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9965956,0.0001855481,0.0001948219,0.0002597114,0.000002379903,0.000008978473,0.0006393249,0.000007581679,0.002106128],"genre_scores_gemma":[0.9991491,0.00007687863,0.00006343192,0.00002091635,0.000001472704,0.000001492598,0.0002993234,0.00000138573,0.0003860878],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04498124,"threshold_uncertainty_score":0.1193049,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01953785088193342,"score_gpt":0.1958284156312229,"score_spread":0.1762905647492895,"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."}}