{"id":"W58495732","doi":"10.1017/cbo9780511921803.010","title":"Conclusion","year":2011,"lang":"en","type":"book-chapter","venue":"Cambridge University Press eBooks","topic":"Machine Learning and Data Classification","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Computer 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001117549,0.0002418263,0.0002216795,0.000150688,0.0002119183,0.00006300554,0.001376187,0.0002608998,0.000006128319],"category_scores_gemma":[0.000008610617,0.0002738147,0.0001146746,0.000007334685,0.0001014742,0.0001723007,0.001117633,0.0004243036,0.00009749606],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008915373,"about_ca_system_score_gemma":0.0000871419,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001375384,"about_ca_topic_score_gemma":9.154697e-7,"domain_scores_codex":[0.9988656,0.00004227199,0.0001323217,0.0005585846,0.0002187655,0.0001824292],"domain_scores_gemma":[0.9984192,0.00004063817,0.0002265481,0.00106968,0.0001079838,0.000135922],"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":[0.000009828749,0.000004176439,0.000001003689,0.00001900735,0.00002141495,0.0000745073,0.00004357643,2.261612e-7,0.00002037198,0.9594769,0.02533213,0.01499684],"study_design_scores_gemma":[0.0002022733,0.00003634807,0.00003275974,0.00005865002,0.00003442929,0.00001278704,0.000001859314,0.0005243654,0.00006528285,0.00006755108,0.9986659,0.0002978166],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.000002731277,0.00007321834,0.08140964,0.00003459347,0.0002353463,0.0001442146,0.00004076465,0.0003129932,0.9177465],"genre_scores_gemma":[0.0007384857,0.00008702337,0.001216459,0.00007715297,0.00006767544,2.460975e-7,0.00006429231,0.00001911423,0.9977295],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.9733337,"threshold_uncertainty_score":0.9999714,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03045074576391204,"score_gpt":0.2034176655597772,"score_spread":0.1729669197958652,"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."}}