{"id":"W3189080263","doi":"","title":"Table 13, Results From Survey on Costs and Included Components of ESR and CRP Tests Across Jurisdictions in Canada","year":2015,"lang":"en","type":"article","venue":"","topic":"Innovation Policy and R&D","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Table (database); Computer science; Data mining","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":[0.002069636,0.0004901275,0.0006891159,0.005237957,0.00224334,0.00218903,0.001641638,0.0007014444,0.01162329],"category_scores_gemma":[0.01999465,0.0005458541,0.001236998,0.01402839,0.0009474516,0.001020429,0.001143625,0.001236094,0.001055511],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02759892,"about_ca_system_score_gemma":0.05676955,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9930598,"about_ca_topic_score_gemma":0.9960392,"domain_scores_codex":[0.9950271,0.0004390062,0.000550485,0.0004655512,0.002507314,0.001010524],"domain_scores_gemma":[0.9720539,0.005273556,0.004028179,0.0005089599,0.01583909,0.002296235],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009457318,0.0001142708,0.9412646,0.0002653714,0.0001830981,0.00006516511,0.0007707609,0.0008772227,0.0001485439,0.0005074018,0.04215402,0.01355513],"study_design_scores_gemma":[0.000008191237,0.00001750222,0.9909712,0.00004647406,0.00003768608,0.0000230319,0.001322046,0.0001984725,0.0001011061,0.00004668078,0.007208657,0.00001892745],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5536616,0.001370064,0.0008734051,0.002143907,0.00009786188,0.0006973919,0.4075157,0.0002140766,0.03342599],"genre_scores_gemma":[0.8362244,0.001914336,0.002788726,0.001360952,0.00005708115,0.0005542155,0.1196296,0.00009417626,0.03737644],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02759892,"threshold_uncertainty_score":0.2002451,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08838007445425715,"score_gpt":0.2712181356320093,"score_spread":0.1828380611777521,"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."}}