{"id":"W6886018375","doi":"10.14288/1.0387672","title":"Index to the interim forest cover series and the forest inventory area reference system; Canada sheet 93 E/NE, E/SE","year":2019,"lang":"en","type":"other","venue":"Open Collections","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Forest inventory; Forest cover; Index (typography); Scale (ratio); Mile; Cover (algebra); Interim","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002839343,0.000927555,0.0005379489,0.004358265,0.000989044,0.001379208,0.001123418,0.0002084374,0.2989256],"category_scores_gemma":[0.001727271,0.0003527963,0.0001577452,0.01372254,0.000258356,0.0008087988,0.0005558777,0.0007036096,0.2039396],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00423875,"about_ca_system_score_gemma":0.009140309,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7007772,"about_ca_topic_score_gemma":0.736516,"domain_scores_codex":[0.9996312,0.00001747748,0.00002561444,0.00005242597,0.0002175484,0.0000556734],"domain_scores_gemma":[0.9982299,0.00008052686,0.0000801088,0.0001213356,0.001364697,0.0001234784],"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":[0.00001560419,0.000008096452,0.0003557084,0.00009225233,0.000001758546,0.00001002831,0.0000341234,0.00005295898,0.00005592122,0.0004988143,0.9749228,0.02395177],"study_design_scores_gemma":[0.000009671988,0.000004435428,0.009084679,0.00005979382,0.000002384983,0.00002038581,0.00006804116,0.0000949252,0.00008521522,0.0002133417,0.9903493,0.000007918603],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.0008031111,0.0003357457,0.0004466814,0.0001690257,0.0001841919,0.0002563184,0.8174394,0.0008898976,0.1794756],"genre_scores_gemma":[0.0056785,0.0009995132,0.00223364,0.0001007912,0.00006609243,0.0003163036,0.6882601,0.0009220178,0.3014231],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.2992228,"threshold_uncertainty_score":0.9999976,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02972078440187921,"score_gpt":0.2517342341568144,"score_spread":0.2220134497549352,"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."}}