{"id":"W6967472959","doi":"10.5061/dryad.8mc79/17","title":"Input file for PHYLIP - Validation assay - 28 Quebec populations from 2 fields + 1 outgroup","year":2015,"lang":"en","type":"other","venue":"DRYAD","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Population; Set (abstract data type); Field (mathematics); Identification (biology); Outgroup","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001260445,0.002441306,0.001417925,0.003501463,0.002537852,0.002349943,0.002875957,0.001336382,0.4256472],"category_scores_gemma":[0.006076281,0.001549533,0.001043048,0.003784338,0.0004428297,0.001316918,0.001327812,0.001235625,0.1490087],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004467426,"about_ca_system_score_gemma":0.005479191,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3914347,"about_ca_topic_score_gemma":0.5176072,"domain_scores_codex":[0.9993522,0.00005755347,0.0000371222,0.0001868184,0.0001979136,0.0001684454],"domain_scores_gemma":[0.9968135,0.0009135064,0.0001386424,0.0006629081,0.001232577,0.0002388596],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001670034,0.00003419906,0.001939593,0.0002898794,0.00003505115,0.00002819196,0.0001032455,0.0002516447,0.0005795037,0.0005348775,0.9904116,0.005625218],"study_design_scores_gemma":[0.0007013272,0.00002782773,0.01460004,0.000357703,0.00008408506,0.00007675507,0.0002354747,0.001642776,0.003291503,0.00169199,0.9771926,0.00009797014],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001052957,0.00004621754,0.001678382,0.00009170135,0.00006153573,0.00008777469,0.9761794,0.01351845,0.007283519],"genre_scores_gemma":[0.005747834,0.00007009188,0.005780511,0.0001775707,0.00002694768,0.0004804199,0.9628515,0.01208509,0.01277996],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.6085653,"threshold_uncertainty_score":0.8192446,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05978870751544616,"score_gpt":0.3128319543472303,"score_spread":0.2530432468317841,"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."}}