{"id":"W4378386700","doi":"10.1515/9780773576995-001","title":"Preface","year":2009,"lang":"en","type":"book-chapter","venue":"McGill-Queen's University Press eBooks","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Computer science","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0008000874,0.0007566473,0.0006428748,0.002547001,0.002414057,0.003174335,0.001259352,0.0009491994,0.6502651],"category_scores_gemma":[0.00477731,0.0003104068,0.0004422969,0.002107696,0.0005574405,0.002161223,0.001853039,0.00202419,0.4802962],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002078901,"about_ca_system_score_gemma":0.002674732,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01032115,"about_ca_topic_score_gemma":0.01637136,"domain_scores_codex":[0.9994463,0.00007022706,0.0000229532,0.00008536504,0.0003182531,0.00005688116],"domain_scores_gemma":[0.99814,0.0002812298,0.00005383205,0.0001918808,0.00106101,0.0002721279],"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":[0.00001419701,0.00001332704,0.00003469254,0.00005926753,7.075449e-7,0.00001918429,0.00005279095,0.0000297135,0.00006036349,0.00447738,0.9565665,0.03867193],"study_design_scores_gemma":[0.000002048544,0.000004575208,0.0001025309,0.00006416725,7.03053e-7,0.00001409876,0.00004970808,0.000009999895,0.00003378781,0.001119255,0.998597,0.000002154087],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0003813013,0.003150564,0.00163216,0.00456448,0.02235267,0.0002852742,0.004718455,0.0007374032,0.9621778],"genre_scores_gemma":[0.0007595953,0.000901847,0.0004161721,0.0008314608,0.001196269,0.00008352401,0.001919944,0.0002406773,0.9936505],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.3497349,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01888797492940241,"score_gpt":0.2091608211531731,"score_spread":0.1902728462237706,"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."}}