{"id":"W2917483073","doi":"","title":"Front Matter and Table of Contents","year":2014,"lang":"en","type":"paratext","venue":"Dalhousie review","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Front (military); Table (database); Table of contents; Geology; Computer science; Database; World Wide Web; Oceanography","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0008461411,0.001181594,0.0008697954,0.005259345,0.001272774,0.005204803,0.001466035,0.001430168,0.8004491],"category_scores_gemma":[0.003966254,0.0003989637,0.000368091,0.004915277,0.000937919,0.002097139,0.001780446,0.001472337,0.6792508],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003684126,"about_ca_system_score_gemma":0.009966048,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02107787,"about_ca_topic_score_gemma":0.05035032,"domain_scores_codex":[0.9992855,0.00004328343,0.00004549677,0.00006950953,0.000447925,0.0001082736],"domain_scores_gemma":[0.9973695,0.0002975157,0.0001295847,0.0002084063,0.001362284,0.0006326375],"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":[0.00002421454,0.00002223822,0.0000571653,0.0003388193,0.000002541306,0.00001862248,0.00001353989,0.00004725864,0.0001875141,0.001297266,0.8959696,0.1020213],"study_design_scores_gemma":[0.000004610115,0.000005525394,0.0002495057,0.0001212801,0.000002236382,0.00001470267,0.00002636679,0.00001634952,0.0001059842,0.0002377916,0.999213,0.000002632984],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0003293224,0.008595896,0.0004171234,0.004985612,0.004393406,0.0001275302,0.008775457,0.0009417725,0.9714338],"genre_scores_gemma":[0.0009867819,0.005569977,0.0003287415,0.0008642706,0.0005107779,0.00002598835,0.002320176,0.0001703863,0.9892229],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1995509,"threshold_uncertainty_score":0.2846352,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02825553453370686,"score_gpt":0.2900840426567791,"score_spread":0.2618285081230722,"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."}}