{"id":"W6960935729","doi":"10.1371/journal.pone.0246157.g003","title":"Summary of epidemiological data regarding MS in Canada &lt;i&gt;circa&lt;/i&gt; 2000–2010.","year":2021,"lang":"en","type":"other","venue":"Figshare","topic":"Research in Cotton Cultivation","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Epidemiology; Population; Value (mathematics); Incidence (geometry); Disease","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":[0.0003917387,0.000297669,0.0006300509,0.00003891542,0.00005870379,0.00003843701,0.001532051,0.0004335798,0.4626496],"category_scores_gemma":[0.007327368,0.0001267031,0.00009549961,0.0005809543,0.00002399388,0.00009286582,0.0009477912,0.0004207686,0.000134595],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003151074,"about_ca_system_score_gemma":0.0004966952,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.2129885,"about_ca_topic_score_gemma":0.9191547,"domain_scores_codex":[0.9970928,0.0004288579,0.0004843606,0.0008202943,0.0006267282,0.0005469244],"domain_scores_gemma":[0.9976036,0.001331885,0.0003625816,0.000417585,0.0001080846,0.0001762958],"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":[0.000005201653,0.00002214215,0.0005048922,0.0001223349,0.00001984553,0.00005678869,0.000002186943,0.000003132105,0.004208286,0.000008726946,0.9864551,0.008591332],"study_design_scores_gemma":[0.00008333811,0.00002618969,0.02968703,0.003235355,0.000003267252,0.00000332836,0.00001213142,0.0001299021,0.0000938278,0.00001273074,0.9664447,0.0002681866],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0007368847,0.01206429,1.547144e-7,0.001079399,0.0003013918,0.0008449292,0.6742122,0.00008709887,0.3106737],"genre_scores_gemma":[0.004232461,0.0004814413,0.0001171557,0.0003271909,0.001049178,0.000138813,0.8217498,0.00002331412,0.1718806],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7061661,"threshold_uncertainty_score":0.8772074,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1497178111075928,"score_gpt":0.2993372150655637,"score_spread":0.1496194039579708,"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."}}