{"id":"W1480871548","doi":"10.1007/978-1-4419-0221-4_15","title":"Preferential Infinitesimals for Information Retrieval","year":2009,"lang":"en","type":"book-chapter","venue":"IFIP advances in information and communication technology","topic":"Rough Sets and Fuzzy Logic","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Victoria","funders":"","keywords":"Infinitesimal; Computer science; Mathematics; Mathematical analysis","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":[],"consensus_categories":[],"category_scores_codex":[0.002727054,0.0005867259,0.0009400186,0.001612029,0.0008117696,0.002291056,0.001170518,0.001148537,0.00727782],"category_scores_gemma":[0.007885405,0.0004557258,0.0007973254,0.00191455,0.003330478,0.007010368,0.001622479,0.002642182,0.001314296],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001393095,"about_ca_system_score_gemma":0.0006605419,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005839432,"about_ca_topic_score_gemma":0.0005364175,"domain_scores_codex":[0.9987732,0.0004726194,0.0001220394,0.0001575062,0.0003848056,0.00008984101],"domain_scores_gemma":[0.995563,0.002665146,0.0002995307,0.0009066773,0.0003869434,0.0001787621],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00000628792,0.000003335345,0.00001758528,0.00002064423,0.000003032589,0.00001013606,0.00002437745,0.001013718,0.0001199569,0.9932735,0.0005988576,0.004908556],"study_design_scores_gemma":[0.000002451825,0.000004274994,0.00001539051,0.00000354077,0.000001843776,0.00002027329,0.000005669715,0.004242058,0.00008578484,0.9943458,0.001269816,0.000003099636],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.02080078,0.005348208,0.9246956,0.002331562,0.000506641,0.0000501961,0.0002006053,0.0003425526,0.04572386],"genre_scores_gemma":[0.6847151,0.005551684,0.2611615,0.0006529718,0.001234715,0.0002652453,0.0003228538,0.0002610389,0.04583493],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.00727782,"threshold_uncertainty_score":0.02434671,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01191097515286815,"score_gpt":0.2515914295910526,"score_spread":0.2396804544381844,"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."}}