{"id":"W4394127803","doi":"10.6084/m9.figshare.3517967","title":"Appendix E. Model selection summary regarding Diptera abundance and biomass measured on 40 farms located in southeastern Quebec, Canada, for three years separately (2006, 2007, and 2008).","year":2016,"lang":"en","type":"dataset","venue":"Figshare","topic":"Forensic Entomology and Diptera Studies","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Selection (genetic algorithm); Abundance (ecology); Geography; Biomass (ecology); Ecology; Forestry; Archaeology; Biology; Computer science; Artificial intelligence","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":[0.003245121,0.00205554,0.001405463,0.002230734,0.001143451,0.001730218,0.003194415,0.001518238,0.2229072],"category_scores_gemma":[0.01939202,0.001039056,0.001815828,0.003683346,0.0004090854,0.0006927173,0.0009476281,0.00126108,0.04797916],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006570036,"about_ca_system_score_gemma":0.01538336,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7586442,"about_ca_topic_score_gemma":0.8589282,"domain_scores_codex":[0.9990075,0.0002182382,0.0001281836,0.0002583923,0.0002396398,0.0001481071],"domain_scores_gemma":[0.9865633,0.005524494,0.0008503331,0.001217443,0.005284662,0.0005597651],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.00009486717,0.00002953942,0.007723827,0.0003860522,0.0001154926,0.00002069257,0.00001501225,0.002119478,0.00002858817,0.0002173443,0.9864702,0.002778823],"study_design_scores_gemma":[0.004104515,0.00009871695,0.0763255,0.001931979,0.000519342,0.0001360422,0.0002580829,0.01308004,0.0004054484,0.002623006,0.9003785,0.0001390009],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002233504,0.0000372448,0.000174435,0.00005698843,0.00001212438,0.00003809503,0.9990068,0.0001223641,0.000328513],"genre_scores_gemma":[0.003313235,0.00005122395,0.0009450769,0.00008997733,0.00001305427,0.0005011142,0.9929408,0.00008260344,0.002062982],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2413558,"threshold_uncertainty_score":0.745699,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03331009849277809,"score_gpt":0.2351848173411827,"score_spread":0.2018747188484046,"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."}}