{"id":"W2805945137","doi":"","title":"Digitizing the Banal: The Politics of Recovery in Periodical Studies","year":2017,"lang":"en","type":"article","venue":"Summit (Simon Fraser University)","topic":"Data Analysis and Archiving","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Politics; History; Art; Media studies; Political science; Sociology; Law","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0005228623,0.00006293818,0.0001441116,0.00009064993,0.00249587,0.0001805723,0.0009533339,0.00003300327,0.00002743087],"category_scores_gemma":[0.0006061049,0.00004174476,0.0001017268,0.0001966858,0.001361651,0.000379326,0.0002973356,0.0001448504,0.000005442269],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006793054,"about_ca_system_score_gemma":0.0001216288,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004346895,"about_ca_topic_score_gemma":0.351597,"domain_scores_codex":[0.999124,0.0002093633,0.0001038301,0.0001311524,0.000218232,0.0002134398],"domain_scores_gemma":[0.9990304,0.0003725215,0.0001229538,0.0003804328,0.00004965047,0.00004407196],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000009982388,0.00003379389,0.9223687,0.000008207248,0.0001119603,0.00004232576,0.002231118,0.00002675997,0.000001325375,0.06387518,0.005386556,0.005904111],"study_design_scores_gemma":[0.000176813,0.00001547793,0.01984833,0.00005921729,0.00007220444,1.236639e-9,0.3923045,0.00004908192,0.00002958098,0.002463696,0.5848754,0.0001056888],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9453164,0.0001663256,0.00002526483,0.005376659,0.0001113658,0.00008029005,0.00002415917,0.00001126197,0.04888831],"genre_scores_gemma":[0.995604,0.0005605366,0.00001722312,0.000094575,0.00007378592,1.707649e-7,0.000001817119,0.0000030469,0.003644857],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9025204,"threshold_uncertainty_score":0.9988027,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0396354987421005,"score_gpt":0.2929070010546765,"score_spread":0.253271502312576,"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."}}