{"id":"W4255454935","doi":"10.1017/cbo9780511614309.012","title":"Bibliography","year":2006,"lang":"en","type":"book-chapter","venue":"Cambridge University Press eBooks","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Sherbrooke","funders":"","keywords":"Bibliography; Computer science; Library science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0005148361,0.001291205,0.001527908,0.01177229,0.002340544,0.004262183,0.00201411,0.00110514,0.5746095],"category_scores_gemma":[0.002804369,0.0005415804,0.0006855708,0.0170112,0.0007994004,0.003595748,0.001948087,0.001722667,0.4419703],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002172532,"about_ca_system_score_gemma":0.00311683,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01288259,"about_ca_topic_score_gemma":0.02383002,"domain_scores_codex":[0.9994426,0.00006699926,0.00003865288,0.00008112339,0.0003258345,0.00004482722],"domain_scores_gemma":[0.9988952,0.0002237774,0.00004323898,0.0001478396,0.0005898055,0.0001001163],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000009999562,0.00001724502,0.00003221806,0.0003205425,0.000002494618,0.0000261572,0.00007011562,0.00006970765,0.00007292435,0.005007969,0.9122956,0.08207504],"study_design_scores_gemma":[0.000001673726,0.000002398131,0.00006227018,0.000196837,0.000002818172,0.00002174458,0.00003286347,0.000009978328,0.00003313572,0.001100391,0.9985332,0.000002673457],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0002109841,0.02864238,0.001860725,0.001621162,0.005486911,0.0001416607,0.006035015,0.0007580474,0.9552431],"genre_scores_gemma":[0.001031746,0.01492796,0.00124428,0.0006377136,0.0009844226,0.00009411265,0.005731142,0.0004037333,0.9749449],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.4253905,"threshold_uncertainty_score":0.6067679,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02070039051231944,"score_gpt":0.1938812626950958,"score_spread":0.1731808721827764,"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."}}