{"id":"W2586601312","doi":"","title":"Complementary or Discrete Contexts in Online Indexing : A Comparison of User, Creator, and Intermediary Keywords","year":2006,"lang":"en","type":"other","venue":"E-LIS Repository (University of Naples Federico II)","topic":"Publishing and Scholarly Communication","field":"Arts and Humanities","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Humanities; Computer science; Political science; Art","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.0050834,0.000243428,0.0006486804,0.008196673,0.002539577,0.01106415,0.0007573431,0.0008568366,0.002943904],"category_scores_gemma":[0.04571206,0.0003141761,0.0003379944,0.009896713,0.004429538,0.01200186,0.005576989,0.0007763636,0.000469518],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001721779,"about_ca_system_score_gemma":0.0017743,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00342113,"about_ca_topic_score_gemma":0.006391851,"domain_scores_codex":[0.9908952,0.004898276,0.0009059738,0.0006781659,0.001989905,0.0006324949],"domain_scores_gemma":[0.9505392,0.035886,0.006400127,0.001684874,0.003538314,0.001951504],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.001432437,0.0001964336,0.31931,0.001413679,0.00009957356,0.00135925,0.5084344,0.0001930609,0.009788833,0.03186966,0.0005296019,0.1253731],"study_design_scores_gemma":[0.0000530992,0.0004121723,0.3678167,0.0006401822,0.0002196774,0.002114841,0.5827804,0.0009824163,0.003904523,0.01523863,0.02568425,0.0001530172],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9650736,0.002643444,0.002460398,0.0003981761,0.00001977936,0.00005337047,0.0001398043,0.00002568678,0.02918568],"genre_scores_gemma":[0.9972245,0.000636229,0.0013602,0.00004831284,0.00001925777,0.00002223337,0.00008216927,0.0000249919,0.0005821306],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9889358,"threshold_uncertainty_score":0.0268839,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02715429426790177,"score_gpt":0.2489368719618119,"score_spread":0.2217825776939101,"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."}}