{"id":"W6912581077","doi":"10.5281/zenodo.5658835","title":"Cremnops cameronii Dalla Torre","year":2015,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Amphibian and Reptile Biology","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Femur; Sulcus; Tibia; Scutellum; Apex (geometry); Clearance","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":[0.00009188044,0.0006856577,0.0001585878,0.001140423,0.0006900708,0.0002352033,0.0003080901,0.0002829007,0.01053376],"category_scores_gemma":[0.0002055646,0.0001204368,0.00009558548,0.0005479006,0.0003126927,0.0003766688,0.0003873745,0.0002389838,0.001451115],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005492294,"about_ca_system_score_gemma":0.000224279,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03546991,"about_ca_topic_score_gemma":0.09774174,"domain_scores_codex":[0.999953,0.00000656535,0.000001708108,0.00001693166,0.0000095523,0.00001231579],"domain_scores_gemma":[0.9999466,0.000008388968,0.0000188558,0.000004060929,0.00001526077,0.000006830344],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0007539156,0.0001634731,0.1608492,0.001420067,0.00007354408,0.007107506,0.003218666,0.001163877,0.07245943,0.005247468,0.04981345,0.6977294],"study_design_scores_gemma":[0.0000318758,0.0001665635,0.7892176,0.0004965146,0.00005032719,0.005005491,0.001573724,0.0005183725,0.002030738,0.0004170825,0.2004545,0.00003718689],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"dataset","genre_scores_codex":[0.6489351,0.02028091,0.001926023,0.00112584,0.000681754,0.0004900413,0.002952999,0.0003582478,0.323249],"genre_scores_gemma":[0.9778615,0.002635986,0.001622783,0.0003165616,0.0000675143,0.00007021179,0.0009115296,0.00001177657,0.01650214],"genre_candidate":"dataset","genre_consensus":null,"teacher_disagreement_score":0.03546991,"threshold_uncertainty_score":0.0705269,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0392866493795191,"score_gpt":0.2359284148108827,"score_spread":0.1966417654313636,"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."}}