{"id":"W6923276232","doi":"10.14288/1.0387587","title":"Index to the interim forest cover series and the forest inventory area reference system; Canada sheet 93 G/NE, G/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":[],"consensus_categories":[],"category_scores_codex":[0.0002748799,0.0009648651,0.0005281357,0.004295854,0.0009869542,0.00135903,0.001094142,0.0002214996,0.2961356],"category_scores_gemma":[0.00175738,0.0003508292,0.0001563734,0.01360335,0.0002593659,0.0007690251,0.0005567,0.0006883676,0.2045094],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004187295,"about_ca_system_score_gemma":0.009409274,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7236272,"about_ca_topic_score_gemma":0.7559727,"domain_scores_codex":[0.9996424,0.00001836803,0.00002535458,0.000052225,0.0002056238,0.00005597546],"domain_scores_gemma":[0.998206,0.00008053691,0.00008063159,0.0001166665,0.001392814,0.0001233062],"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":[0.00001406509,0.000006973415,0.0003365387,0.00008289167,0.000001573716,0.000009353245,0.00003001033,0.00005514351,0.00004716099,0.0004339739,0.977384,0.02159841],"study_design_scores_gemma":[0.000009605441,0.000004425467,0.008840866,0.00006124429,0.000002234933,0.00001908968,0.00006612116,0.0001084676,0.00007805911,0.0002045778,0.9905973,0.000007916788],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.0007637303,0.0003264495,0.0004385208,0.0001745808,0.0001732195,0.0002442619,0.8239751,0.0009019305,0.1730022],"genre_scores_gemma":[0.005933752,0.001048227,0.002203972,0.0001136493,0.00006568114,0.0003335814,0.6899165,0.0009529953,0.2994316],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.2961356,"threshold_uncertainty_score":0.9906723,"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."}}