{"id":"W6967727748","doi":"10.5281/zenodo.11339472","title":"Geomys bursarius","year":2005,"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":"Subspecies; Population; Range (aeronautics); Incidence (geometry)","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":[0.0001422759,0.0005600194,0.0001739952,0.0005688065,0.0006721613,0.0002490332,0.0002242741,0.0003589126,0.008464755],"category_scores_gemma":[0.0002426677,0.0001275271,0.0001221469,0.00041599,0.000599661,0.0006224852,0.0007316209,0.0004263777,0.003888588],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004476163,"about_ca_system_score_gemma":0.000284266,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01199583,"about_ca_topic_score_gemma":0.01905142,"domain_scores_codex":[0.9999043,0.00001417635,0.00001018541,0.00003010416,0.00002763644,0.00001359428],"domain_scores_gemma":[0.9999025,0.00001031018,0.00004749103,0.000008739115,0.00002249273,0.000008474539],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0003700502,0.00006219178,0.03072959,0.00103755,0.00005749792,0.002815313,0.006017076,0.0005064287,0.02295766,0.01497203,0.1951671,0.7253075],"study_design_scores_gemma":[0.00003443805,0.0001710789,0.1457339,0.0006717401,0.00006373563,0.006019588,0.002477496,0.0001795855,0.002145605,0.002169178,0.8403146,0.0000191307],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3235202,0.09530068,0.00848844,0.009311714,0.006075246,0.0002109057,0.003248109,0.001215263,0.5526295],"genre_scores_gemma":[0.8674391,0.02291355,0.005183554,0.00506581,0.001166673,0.00009479932,0.002168294,0.00007600614,0.09589236],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01199583,"threshold_uncertainty_score":0.02831745,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03560493108335078,"score_gpt":0.2189968446876482,"score_spread":0.1833919136042974,"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."}}