{"id":"W6911737387","doi":"10.5281/zenodo.13437029","title":"RED BAT (LASIURUS BOREALIS) CAPTURED IN NORTHEASTERN ALBERTA","year":2004,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Bat Biology and Ecology Studies","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Ectotherm; Natural (archaeology); Fishing","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":[0.0002299115,0.0001680336,0.0001629658,0.002370948,0.001284545,0.0004186975,0.0004138222,0.0001682145,0.006580234],"category_scores_gemma":[0.0003524159,0.0001195135,0.00006256672,0.002910112,0.0004130179,0.0001768298,0.0003144419,0.0001341538,0.0007346713],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004274507,"about_ca_system_score_gemma":0.002831505,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9256616,"about_ca_topic_score_gemma":0.9876818,"domain_scores_codex":[0.9998611,0.000009452217,0.000007743672,0.00003063435,0.00006050114,0.00003048775],"domain_scores_gemma":[0.9996656,0.00003663135,0.00004591653,0.00001376059,0.0001921016,0.00004602916],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001039542,0.0001152968,0.7199064,0.00108285,0.0001558721,0.004172779,0.01233426,0.001602747,0.02236322,0.002050893,0.0530507,0.1821254],"study_design_scores_gemma":[0.000006374879,0.00002555502,0.9706531,0.00005641002,0.00003028758,0.0003164184,0.00408032,0.0001140096,0.0007252836,0.00009656302,0.02388577,0.000009988222],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8876976,0.003451253,0.0009554356,0.0004115568,0.00008276002,0.00009410523,0.04601644,0.000125324,0.06116544],"genre_scores_gemma":[0.9231772,0.00292127,0.002101142,0.0001514755,0.00002325354,0.00003859113,0.0189706,0.00003509008,0.05258134],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07433844,"threshold_uncertainty_score":0.1495524,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0270723471591553,"score_gpt":0.2101727234360179,"score_spread":0.1831003762768626,"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."}}