{"id":"W6960888473","doi":"10.1371/journal.pone.0208911.t003","title":"Model selection results using BIC forward-backward search for each mosquito species of the Greater Golden Horseshoe region, Ontario, Canada.","year":2018,"lang":"en","type":"dataset","venue":"Figshare","topic":"Genetic and Environmental Crop Studies","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Selection (genetic algorithm); Horseshoe (symbol); Horseshoe crab; Key (lock); Model selection","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00004992793,0.0002349612,0.0002528495,0.000009764908,0.0003735659,0.00003594804,0.000459736,0.0001822578,0.006227458],"category_scores_gemma":[0.00006725731,0.00008582169,0.0001297381,0.0001345447,0.00003935436,0.00003289138,0.0003443708,0.0001597938,0.00002142888],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003298096,"about_ca_system_score_gemma":0.0001401046,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.4952452,"about_ca_topic_score_gemma":0.9540058,"domain_scores_codex":[0.9986932,0.00003451853,0.0002570996,0.0003414321,0.0003478396,0.0003259035],"domain_scores_gemma":[0.9994676,0.00005344265,0.0001760745,0.0001379196,0.0001076073,0.00005740347],"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":[0.00003709777,0.00001195597,0.0001604779,0.00005531208,0.00002756332,4.946108e-7,0.00004111142,0.0002139256,0.0002133216,3.530302e-8,0.9991929,0.00004581398],"study_design_scores_gemma":[0.0001044648,0.0001208994,0.01900019,0.0003226638,0.00004229629,0.000004734272,0.0001084965,0.0001410036,0.0007980401,0.000004531514,0.9791405,0.0002122422],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.02710045,0.00003804308,9.369067e-8,0.0001338003,0.00008033069,0.000445803,0.9721339,0.000005847186,0.0000616889],"genre_scores_gemma":[0.01518993,0.000009032266,0.00001788452,0.00008290844,0.0003269977,0.0000599766,0.9811037,0.000002196181,0.00320743],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.4587606,"threshold_uncertainty_score":0.994681,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1111332297633837,"score_gpt":0.2354546229740498,"score_spread":0.1243213932106661,"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."}}