{"id":"W2588863515","doi":"10.29173/cais505","title":"Assessing Intra and Extra Web-based Automatic Indexing Tools","year":2013,"lang":"en","type":"article","venue":"Proceedings of the Annual Conference of CAIS / Actes du congrès annuel de l ACSI","topic":"Advanced Text Analysis Techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre de Développement du Porc du Québec; University of Toronto","funders":"","keywords":"Search engine indexing; Extractor; Information retrieval; Computer science; Representation (politics); Automatic indexing; World Wide Web; Engineering","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02873022,0.001004179,0.001016239,0.009926886,0.0007865364,0.005913639,0.001681508,0.00137421,0.003296365],"category_scores_gemma":[0.1255569,0.0004812415,0.0006137313,0.00452158,0.001042056,0.01026411,0.003686189,0.001349352,0.001990736],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006583864,"about_ca_system_score_gemma":0.001059313,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005758429,"about_ca_topic_score_gemma":0.001078944,"domain_scores_codex":[0.9632122,0.01829981,0.003771518,0.002846039,0.01101429,0.0008561962],"domain_scores_gemma":[0.711027,0.2377744,0.009000325,0.01516137,0.02502693,0.002009926],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.003556195,0.002391319,0.08512273,0.002185303,0.0004861496,0.0002463172,0.004650373,0.001585827,0.03266646,0.001992404,0.002123768,0.8629931],"study_design_scores_gemma":[0.00114035,0.02264482,0.6047964,0.00137837,0.002967324,0.00369988,0.01207995,0.07619368,0.2021868,0.008749221,0.0633003,0.0008627701],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8586821,0.002110603,0.106729,0.0004469741,0.0002317597,0.001358619,0.001138103,0.006171382,0.02313144],"genre_scores_gemma":[0.8602769,0.0005785375,0.1292559,0.0002347394,0.0002219245,0.0008081024,0.002659504,0.001281738,0.004682631],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02873022,"threshold_uncertainty_score":0.1519418,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0278890957591072,"score_gpt":0.2721698050000837,"score_spread":0.2442807092409765,"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."}}