{"id":"W6961110988","doi":"10.1371/journal.pone.0189393.g004","title":"Dispersion of sites positive for &lt;i&gt;I&lt;/i&gt;. &lt;i&gt;scapularis&lt;/i&gt; for each field sampling time frame.","year":2017,"lang":"en","type":"other","venue":"Figshare","topic":"Botanical Studies and Applications","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Dispersion (optics); Sampling (signal processing); Ellipse; Field (mathematics); Center (category theory)","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001250741,0.0005686747,0.0008445656,0.00001906804,0.0008614311,0.0001544065,0.001047743,0.000915146,0.04501983],"category_scores_gemma":[0.001018134,0.0002832183,0.0007148635,0.0001866684,0.00006665463,0.00009646572,0.0004339369,0.0002404813,0.0006013945],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005802927,"about_ca_system_score_gemma":0.00001733699,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003306667,"about_ca_topic_score_gemma":0.001526818,"domain_scores_codex":[0.9975066,0.00004207322,0.0004544875,0.0009350588,0.0003656631,0.0006961577],"domain_scores_gemma":[0.9970039,0.001429114,0.0007061998,0.0003568394,0.0002884193,0.0002155942],"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":[0.00004865753,0.0001439018,0.00000759457,0.0001603184,0.0001308965,8.893304e-7,0.00002487158,0.000001078583,0.05642798,0.0002877967,0.9184498,0.02431629],"study_design_scores_gemma":[0.0002935489,0.0005057707,0.00124354,0.001697415,0.000108194,0.000001611101,0.00001023145,0.0001471655,0.0006482744,0.0002242031,0.9944931,0.0006270058],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001647684,0.01502747,0.0001589702,0.004234367,0.0003219391,0.006469046,0.8680596,0.0004897797,0.1035912],"genre_scores_gemma":[0.04206739,0.001273328,0.004775352,0.001856517,0.008402032,0.005862467,0.4747806,0.0002464207,0.4607359],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.393279,"threshold_uncertainty_score":0.999962,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03956672953974081,"score_gpt":0.2691235760626857,"score_spread":0.2295568465229449,"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."}}