{"id":"W6886017210","doi":"10.14288/1.0387652","title":"Index to the interim forest cover series and the forest inventory area reference system; Canada sheet 82 F/NE, F/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":[0.0002801215,0.0009647273,0.0005252676,0.004346439,0.001035621,0.001367459,0.001098246,0.0002190363,0.2997231],"category_scores_gemma":[0.001810993,0.0003605565,0.0001491893,0.01305093,0.0002553361,0.0007960606,0.0005519949,0.0006615398,0.2044213],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004447185,"about_ca_system_score_gemma":0.00992892,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7465967,"about_ca_topic_score_gemma":0.7792571,"domain_scores_codex":[0.9996332,0.00001793279,0.00002517086,0.00005246649,0.0002116045,0.00005956593],"domain_scores_gemma":[0.9981256,0.00008040089,0.00008029224,0.0001153787,0.001469564,0.0001287138],"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":[0.00001333928,0.000007351348,0.0003250784,0.00008147959,0.00000141919,0.000008945757,0.00003030521,0.00005150049,0.00004643204,0.0004194082,0.9774085,0.02160637],"study_design_scores_gemma":[0.000009320665,0.000004479497,0.008686097,0.00006139286,0.000002094099,0.00001886066,0.00006847444,0.000101231,0.00007514439,0.0001821161,0.9907829,0.000007865056],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.0008025605,0.0003521183,0.0004474292,0.0001873094,0.0001901218,0.0002639078,0.8110641,0.0009220139,0.1857704],"genre_scores_gemma":[0.005712416,0.001026506,0.00209874,0.0001107667,0.00006744068,0.0003338734,0.6634398,0.0008521053,0.3263583],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.2997231,"threshold_uncertainty_score":0.9988599,"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."}}