{"id":"W7071926029","doi":"","title":"Understanding aspen in the James Bay area of Québec at multiple scales","year":2014,"lang":"en","type":"other","venue":"Library and Archives Canada (Government of Canada)","topic":"QR Code Applications and Technologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Taiga; Boreal; Bay; Climate change; Temperate climate; Range (aeronautics); Abundance (ecology); Temperate rainforest; Species distribution","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.0001471582,0.0001956627,0.0001364692,0.0009766429,0.001377315,0.0009029972,0.0004530834,0.0002137385,0.002287071],"category_scores_gemma":[0.0003619541,0.00009888174,0.000117505,0.001561528,0.0004173896,0.0004220504,0.0004313119,0.0002768351,0.0002765436],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007211103,"about_ca_system_score_gemma":0.003565732,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9679055,"about_ca_topic_score_gemma":0.9938139,"domain_scores_codex":[0.9998704,0.000008906198,0.000003834082,0.00004031562,0.00003105901,0.00004535994],"domain_scores_gemma":[0.9996692,0.00003396178,0.00006779088,0.00001098298,0.0001369867,0.00008099118],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004368535,0.00004255086,0.9659383,0.00006341486,0.00003077936,0.000295157,0.003054921,0.0006122192,0.003719538,0.0002227576,0.001356084,0.02462055],"study_design_scores_gemma":[5.445161e-7,0.000004607024,0.9969597,0.000009089057,0.00000254182,0.00002109136,0.001529336,0.0002701447,0.00005544921,0.00001336612,0.001131464,0.000002652007],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9903538,0.0003197715,0.0004823428,0.0001427806,0.000004081406,0.00004757627,0.00225448,0.00001617982,0.006378907],"genre_scores_gemma":[0.9935135,0.0003504559,0.001148439,0.00006987547,0.000003100576,0.00002813875,0.001094121,0.000004560979,0.003787827],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03209448,"threshold_uncertainty_score":0.06456691,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01325607619566556,"score_gpt":0.1542721842270392,"score_spread":0.1410161080313737,"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."}}