{"id":"W6960903385","doi":"10.1371/journal.pone.0130294.g003","title":"Probability distribution for &lt;i&gt;Culicoides sonorensis&lt;/i&gt; in southern Alberta and Montana (2010) as estimated by the best performing model (B).","year":2015,"lang":"en","type":"other","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":"Probability distribution; Empirical probability; Probability model; Joint probability distribution; Orange (colour); Probability density function; Probability measure; Class (philosophy)","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":[0.00105774,0.0004871257,0.0003533982,0.001067363,0.0004289279,0.001151424,0.001227195,0.0007496018,0.01013823],"category_scores_gemma":[0.00196149,0.0002274403,0.0006592017,0.0008282874,0.0009045824,0.000462774,0.0003687789,0.0009385939,0.001337134],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004119883,"about_ca_system_score_gemma":0.002575324,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7999344,"about_ca_topic_score_gemma":0.8381099,"domain_scores_codex":[0.9997585,0.00004211073,0.00000930085,0.0001093171,0.00003767991,0.00004309115],"domain_scores_gemma":[0.998592,0.0006391734,0.0001388969,0.00008615018,0.0003311254,0.0002125919],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001114951,0.0001133978,0.5824482,0.0002876498,0.0006265279,0.0005199945,0.0004838366,0.2698891,0.002226854,0.006275739,0.09872017,0.03729355],"study_design_scores_gemma":[0.0001894307,0.00008115581,0.6739376,0.0002086693,0.0003437935,0.0003767607,0.002589911,0.2997999,0.001150399,0.004050572,0.01709531,0.0001765591],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9288376,0.001454911,0.008013409,0.001009925,0.000165958,0.0000697319,0.04883609,0.00117408,0.01043823],"genre_scores_gemma":[0.9670912,0.0002446503,0.002722493,0.00009419149,0.000021608,0.00001543857,0.02318442,0.0001227359,0.006503321],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2000656,"threshold_uncertainty_score":0.4024876,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05103042956206657,"score_gpt":0.2219078114274705,"score_spread":0.1708773818654039,"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."}}