{"id":"W6949954825","doi":"10.5281/zenodo.4004742","title":"Annual Report - April 2019-March 2020","year":2020,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Medical and Biological Sciences","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Hydro-Québec; BC Hydro; University of Alberta; Government of Canada; Parks Canada; Manitoba Hydro; Government of Ontario; Environment and Climate Change Canada; Government of Alberta; Natural Resources Canada; Ministry of Environment; Alberta Biodiversity Monitoring Institute; Canadian Forest Service; Cenovus Energy; Suncor Energy Incorporated; University of Montana; U.S. Forest Service; Bird Studies Canada; Ministry of Natural Resources; Ministère de la Défense Nationale; Areva; Canadian Natural Resources Limited; Shell Canada","keywords":"Annual report; Work (physics); Boreal; Annual cycle; Preliminary report","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.002687633,0.001082782,0.0004924656,0.001739885,0.0006094859,0.002760358,0.001239084,0.001302902,0.1270249],"category_scores_gemma":[0.002873812,0.0003223001,0.0005407234,0.001545003,0.0002395427,0.001069459,0.001550115,0.001168864,0.1207479],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001559216,"about_ca_system_score_gemma":0.005116452,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02242428,"about_ca_topic_score_gemma":0.02339072,"domain_scores_codex":[0.998785,0.0001071116,0.00007643225,0.00009636846,0.0007654068,0.0001696353],"domain_scores_gemma":[0.9968426,0.0001513991,0.0001995813,0.0001981146,0.002089981,0.0005181733],"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":[0.0002235641,0.0000562999,0.001054348,0.0002490097,0.00001248696,0.00005886819,0.00001826433,0.0002785096,0.000668304,0.001112779,0.9597573,0.03651033],"study_design_scores_gemma":[0.00001382733,0.00003306515,0.002609024,0.00009973199,0.000006260678,0.00003294164,0.00002425883,0.00008375305,0.0004294225,0.0003034299,0.9963561,0.000008213402],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.006142854,0.01453912,0.0061744,0.01274984,0.05537139,0.001419344,0.3811476,0.002844538,0.5196109],"genre_scores_gemma":[0.02160448,0.00866162,0.00557622,0.002909449,0.004148501,0.001006499,0.2460969,0.001106449,0.70889],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1270249,"threshold_uncertainty_score":0.4249408,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05376227072004965,"score_gpt":0.27842970679662,"score_spread":0.2246674360765704,"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."}}