{"id":"W6948468290","doi":"10.5061/dryad.4d3n1/1","title":"genotypes of 132 hoary bats and 87 silver-haired bats from Alberta, Canada","year":2016,"lang":"en","type":"other","venue":"DRYAD","topic":"Plant chemical constituents analysis","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Genotype; Allele frequency; Human echolocation; Genetic variation; Population","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":[0.0002723833,0.0006148246,0.0004357556,0.002302396,0.00211833,0.0008908924,0.0006832998,0.0003577298,0.004768555],"category_scores_gemma":[0.0003232808,0.0003313118,0.0002571251,0.003075134,0.0005545845,0.0001395619,0.0004106512,0.0002960931,0.001517373],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007238086,"about_ca_system_score_gemma":0.004350556,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9460989,"about_ca_topic_score_gemma":0.9869757,"domain_scores_codex":[0.9995036,0.00001615471,0.00002088076,0.000126542,0.0001865159,0.0001463142],"domain_scores_gemma":[0.9995368,0.00002262259,0.00003647681,0.00001793742,0.0002601799,0.0001260424],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006880094,0.00017846,0.9077219,0.0001272539,0.0001527536,0.00142469,0.004991535,0.0004204313,0.03656597,0.0003542474,0.006525273,0.04084941],"study_design_scores_gemma":[0.000009740209,0.00004036408,0.9895839,0.00002105238,0.000035421,0.0002188647,0.00229913,0.0001337588,0.0006682022,0.0000244054,0.006951605,0.00001345575],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"dataset","genre_scores_codex":[0.969374,0.0004614341,0.0006177271,0.00006269106,0.00002141929,0.0001884392,0.01940028,0.00004477996,0.009829191],"genre_scores_gemma":[0.9356145,0.0008076445,0.003616435,0.0002425006,0.00001102465,0.0001254397,0.02152035,0.00008363055,0.03797859],"genre_candidate":"dataset","genre_consensus":null,"teacher_disagreement_score":0.05390108,"threshold_uncertainty_score":0.1084369,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005605653099758886,"score_gpt":0.1676778754086171,"score_spread":0.1620722223088582,"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."}}