{"id":"W2921708906","doi":"10.18438/eblip29493","title":"Dealing with Misquotations Constructively","year":2019,"lang":"en","type":"article","venue":"Evidence Based Library and Information Practice","topic":"Logic, programming, and type systems","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science","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":"codex-gemma-dda1882f352a","candidate_categories":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.0002643642,0.00008895327,0.00008619552,0.0001004055,0.0001279399,0.0006972603,0.0002313045,0.00003816868,0.00005655884],"category_scores_gemma":[0.0001714036,0.00006927169,0.00001690618,0.0003010601,0.00003633107,0.2149534,0.00006041673,0.000111114,0.000173154],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000004731904,"about_ca_system_score_gemma":0.0001482695,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005489157,"about_ca_topic_score_gemma":2.017397e-8,"domain_scores_codex":[0.9992388,0.00008766157,0.0002135901,0.0001355253,0.0002008035,0.000123632],"domain_scores_gemma":[0.9985914,0.0007615698,0.0002642939,0.0002376022,0.00007229354,0.00007282348],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003661894,0.000006598533,0.001154906,0.0000420272,0.00000763778,0.00000179035,0.0002195154,0.0001437847,0.000009471276,0.9801427,0.0000673816,0.01816758],"study_design_scores_gemma":[0.0007714512,0.0004529276,0.004300476,0.00009517985,0.0000209314,0.0001946439,0.0011009,0.0494566,0.001435158,0.002604119,0.9392117,0.0003558808],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.003963666,0.0003729288,0.9224401,0.02520532,0.0002807636,0.0005476063,0.000001310842,0.0003466692,0.04684161],"genre_scores_gemma":[0.9235129,0.00008374642,0.06146602,0.01474343,0.00002197376,0.00001483059,0.000007157223,0.000003782961,0.0001461364],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9775386,"threshold_uncertainty_score":0.7960266,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01287212492727926,"score_gpt":0.2335679237325732,"score_spread":0.220695798805294,"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."}}