{"id":"W7161974092","doi":"10.82308/26551","title":"The metabolic geography of the red squirrel «(Tamiasciurus hudsonicus)»","year":2010,"lang":"en","type":"dissertation","venue":"","topic":"Animal Ecology and Behavior Studies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Population; Latitude; Environmental factor; Population structure","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":[0.00009494749,0.0001510588,0.0001304691,0.0004193916,0.0002016409,0.0004451766,0.0001128448,0.0001092502,0.0009998317],"category_scores_gemma":[0.0001541638,0.0001035222,0.0001358584,0.0003412594,0.0001890215,0.0002098581,0.0002526134,0.00008491932,0.00009967126],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003635857,"about_ca_system_score_gemma":0.0001611944,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02241674,"about_ca_topic_score_gemma":0.04708016,"domain_scores_codex":[0.9999661,0.000005674,0.000001953669,0.00001539301,0.000004195012,0.000006714205],"domain_scores_gemma":[0.9999155,0.00001219342,0.00003566073,0.000005897771,0.00001565424,0.00001511039],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004275715,0.00003002879,0.8943843,0.00007236039,0.0001993388,0.0002247759,0.0009443936,0.0006782115,0.08438865,0.0002907166,0.0001468092,0.01821278],"study_design_scores_gemma":[0.000001748093,0.00005092334,0.9985286,0.000002088775,0.00001301124,0.00005148731,0.0001800518,0.0001262334,0.0006985466,0.0000322768,0.0003128281,0.000002241153],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9993531,0.0001609468,0.0001052216,0.00001163735,0.000001075965,0.000001001467,0.0001029023,0.00000156291,0.0002626213],"genre_scores_gemma":[0.9987643,0.0001757886,0.0001841016,0.00001213037,0.000001935647,0.000002737518,0.0002052828,0.000001464035,0.0006522879],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02241674,"threshold_uncertainty_score":0.04457253,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005110883584589428,"score_gpt":0.2339541179275801,"score_spread":0.2288432343429907,"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."}}