{"id":"W4312880117","doi":"10.18438/b8s900","title":"Call for Classic Research Studies: Evidence Based Library and Information Practice","year":2008,"lang":"en","type":"article","venue":"Evidence Based Library and Information Practice","topic":"Library Collection Development and Digital Resources","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Library science; Citation; NOMINATE; Commit; Value (mathematics); Medical library; 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":["metaresearch","metaepi_narrow","scholarly_communication"],"consensus_categories":["scholarly_communication"],"category_scores_codex":[0.001628767,0.0002925792,0.0002739019,0.0009464479,0.001183819,0.003250748,0.0007629871,0.000160654,0.00003867123],"category_scores_gemma":[0.01440962,0.0002612872,0.00006522172,0.002307204,0.0002775566,0.8488764,0.0006561198,0.0004555119,0.00007761213],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002994453,"about_ca_system_score_gemma":0.001566489,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002614237,"about_ca_topic_score_gemma":1.080093e-8,"domain_scores_codex":[0.9965869,0.000672348,0.0009059368,0.0003902486,0.0009695163,0.0004750679],"domain_scores_gemma":[0.9753942,0.02274281,0.0006452379,0.0005188615,0.0003741233,0.000324799],"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":[0.004590651,0.000223899,0.001797924,0.001692116,0.0001499398,0.00004222002,0.005392201,0.0005970217,0.00003167378,0.6623599,0.2433782,0.0797443],"study_design_scores_gemma":[0.0007576238,0.0005953013,0.002471478,0.0006792909,0.00001771368,0.00008888152,0.001057196,0.03006708,0.001683124,0.0003791082,0.961843,0.0003602635],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.005394078,0.01245552,0.1522099,0.7889408,0.0009096521,0.003639041,0.00003662074,0.001570245,0.03484411],"genre_scores_gemma":[0.1270848,0.05674706,0.3158013,0.4945756,0.0003549,0.0008923637,0.0001727815,0.00005234041,0.004318737],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.8456256,"threshold_uncertainty_score":0.9999839,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08251876849410464,"score_gpt":0.3241355500338249,"score_spread":0.2416167815397202,"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."}}