{"id":"W4239583336","doi":"10.1007/978-3-319-44015-6_12","title":"Canada","year":2016,"lang":"en","type":"book-chapter","venue":"","topic":"Forest Management and Policy","field":"Environmental Science","cited_by":8,"is_retracted":false,"has_abstract":false,"ca_institutions":"Canadian Forest Service; Natural Resources Canada","funders":"","keywords":"Geography; Forestry; Government (linguistics); Political science; Library science; Computer science; Philosophy","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"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":[0.0002815234,0.001273563,0.0007257593,0.002016859,0.00602097,0.004906595,0.001166331,0.001474532,0.5505778],"category_scores_gemma":[0.001107719,0.0006127581,0.0003877353,0.00361437,0.0009305036,0.001714026,0.001466582,0.001824689,0.2413588],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01773124,"about_ca_system_score_gemma":0.02543675,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.8791474,"about_ca_topic_score_gemma":0.9674758,"domain_scores_codex":[0.9994258,0.00002294552,0.00001285654,0.0001247656,0.0002940295,0.000119627],"domain_scores_gemma":[0.9992,0.00005640082,0.00002171026,0.00005964174,0.000520857,0.0001413199],"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":[0.00003102564,0.00002532684,0.0005589411,0.0001213333,0.000005341295,0.0001346096,0.0001330161,0.0002312396,0.0002480127,0.02418364,0.8624082,0.1119194],"study_design_scores_gemma":[0.000002765204,0.000001989726,0.0003715745,0.00004482255,0.000001919973,0.00002618152,0.0000800829,0.0000649794,0.00008471291,0.0009389957,0.9983774,0.000004502921],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0005054814,0.001978659,0.0004366178,0.001174918,0.000330767,0.00003117655,0.004503247,0.0003501067,0.990689],"genre_scores_gemma":[0.0009550787,0.000568495,0.0001921334,0.0001561496,0.00001050846,0.000007570357,0.0006170137,0.00008656869,0.9974065],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.5505778,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007284044992773142,"score_gpt":0.1758896019251276,"score_spread":0.1686055569323545,"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."}}