{"id":"W4394492808","doi":"10.6084/m9.figshare.3517973","title":"Appendix C. Model selection summary regarding Diptera abundance and biomass measured on 40 farms located in southeastern Quebec, Canada, 2006-2008.","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":"Abundance (ecology); Selection (genetic algorithm); Geography; Biomass (ecology); Ecology; Forestry; 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":[0.002805889,0.001832127,0.001277242,0.001983509,0.001034233,0.001385608,0.002774474,0.001243649,0.2099231],"category_scores_gemma":[0.01733558,0.0008591466,0.001576588,0.00366526,0.0003732816,0.0005783896,0.0008025075,0.001088777,0.04169057],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006694107,"about_ca_system_score_gemma":0.01526856,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7796637,"about_ca_topic_score_gemma":0.8519639,"domain_scores_codex":[0.9991696,0.0001868158,0.0001031654,0.0002143454,0.0001972929,0.0001288274],"domain_scores_gemma":[0.9881373,0.005074364,0.0007722392,0.0009412802,0.00458979,0.0004850117],"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":[0.0001110635,0.00002962727,0.009784971,0.0003940455,0.0001351527,0.0000239074,0.0000146741,0.002963585,0.00003284432,0.0001986407,0.9835888,0.002722631],"study_design_scores_gemma":[0.004472895,0.000124814,0.1051405,0.001870694,0.0006805685,0.000167401,0.0003220338,0.01893935,0.0004810904,0.002740607,0.8649027,0.0001573496],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002729053,0.00003507964,0.0001487753,0.00005450824,0.00001140149,0.00003289132,0.9990497,0.00009741974,0.0002973664],"genre_scores_gemma":[0.004415249,0.00005266859,0.0008109319,0.00009192752,0.00001300373,0.0004454017,0.9920087,0.00007491701,0.002087232],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2203363,"threshold_uncertainty_score":0.7022628,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02722115127225742,"score_gpt":0.2214039370121481,"score_spread":0.1941827857398907,"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."}}