{"id":"W4233018102","doi":"10.22237/jmasm/1430452860","title":"Front Matter","year":2015,"lang":"en","type":"paratext","venue":"Journal of Modern Applied Statistical Methods","topic":"Data Analysis with R","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Mathematics; Front (military); Statistics; Econometrics; Physics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0008982637,0.001269921,0.001237673,0.002344293,0.002317837,0.01105541,0.001775667,0.003772893,0.9677807],"category_scores_gemma":[0.005010213,0.0005054378,0.0006472961,0.002370081,0.001116065,0.005249279,0.00395816,0.002287532,0.9585845],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001435169,"about_ca_system_score_gemma":0.002308269,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001957015,"about_ca_topic_score_gemma":0.004900062,"domain_scores_codex":[0.9989532,0.0001167313,0.00007208293,0.0003442252,0.0003789619,0.0001348426],"domain_scores_gemma":[0.9974419,0.0004551162,0.0001259042,0.0004719649,0.0006978822,0.0008072151],"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":[0.00003744816,0.00004208583,0.0002843972,0.0002245362,0.000004865418,0.00008742812,0.00009044984,0.00003982897,0.0003103586,0.004514279,0.8658874,0.1284769],"study_design_scores_gemma":[0.000005243674,0.000006544492,0.0001862987,0.0000774039,0.000001558743,0.00005395387,0.00006608241,0.00003361827,0.000083427,0.0005987602,0.998884,0.00000304809],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0003406857,0.0006766161,0.0005989943,0.002280107,0.001895341,0.00006947949,0.002367137,0.001705763,0.9900658],"genre_scores_gemma":[0.0007338208,0.0003143655,0.0002755071,0.0007671021,0.0001604827,0.00002095307,0.001241608,0.0004012554,0.9960848],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.03221929,"threshold_uncertainty_score":0.04595685,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05005878346610747,"score_gpt":0.3928947668290735,"score_spread":0.3428359833629661,"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."}}