{"id":"W2223122396","doi":"","title":"Canadian forest and land policy.","year":2013,"lang":"en","type":"article","venue":"Deep Blue (University of Michigan)","topic":"Forest Management and Policy","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Forestry; Geography; Environmental resource management; Environmental science","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":[0.00124869,0.0008635786,0.0007041902,0.001763884,0.005206766,0.003304917,0.001890772,0.003449254,0.1020565],"category_scores_gemma":[0.00358388,0.0008734821,0.000499158,0.004277435,0.0009640061,0.00127302,0.0008406882,0.003253402,0.01093419],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04639982,"about_ca_system_score_gemma":0.09960213,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9943164,"about_ca_topic_score_gemma":0.9983808,"domain_scores_codex":[0.9982318,0.00006906481,0.00005089937,0.0001433806,0.001105675,0.0003990612],"domain_scores_gemma":[0.9965862,0.0002195708,0.0000641502,0.0001048255,0.002415447,0.0006097138],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002019238,0.00001722087,0.00100402,0.00008040899,0.000007162819,0.00003165074,0.00005915743,0.0001298027,0.00006689499,0.007806254,0.9688621,0.02191528],"study_design_scores_gemma":[0.00001366482,0.000005347943,0.01107158,0.0001257489,0.00001496722,0.00001651366,0.0001949158,0.0001317857,0.0001083794,0.0007675153,0.9875312,0.00001829112],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.003607964,0.0349138,0.0005945608,0.07842429,0.006010415,0.0002698226,0.09292628,0.0004017471,0.7828511],"genre_scores_gemma":[0.0277715,0.01422953,0.001617898,0.007114241,0.0003715587,0.0001185598,0.008958742,0.0001463519,0.9396717],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.9536002,"threshold_uncertainty_score":0.3414128,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.002844790130199326,"score_gpt":0.1474190955694474,"score_spread":0.144574305439248,"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."}}