{"id":"W2785975476","doi":"10.3103/s1066530718020011","title":"Estimating the Index of Increase via Balancing Deterministic and Random Data","year":2018,"lang":"en","type":"article","venue":"Mathematical Methods of Statistics","topic":"Fuzzy Systems and Optimization","field":"Mathematics","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Monotonic function; Index (typography); Consistency (knowledge bases); Mathematics; Strong consistency; Rate of convergence; Applied mathematics; Convergence (economics); Statistics; Computer science; Mathematical optimization; Discrete mathematics; Estimator; 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":[0.0236821,0.0008261675,0.001505686,0.003600623,0.0008296019,0.003354209,0.002509747,0.002492552,0.001366483],"category_scores_gemma":[0.154719,0.0006299366,0.0008989323,0.002359521,0.004154144,0.007465034,0.003961685,0.002337221,0.0004915881],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001077367,"about_ca_system_score_gemma":0.0009328781,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006621488,"about_ca_topic_score_gemma":0.000492791,"domain_scores_codex":[0.9899008,0.005055782,0.000728,0.001963357,0.001829473,0.0005226969],"domain_scores_gemma":[0.8397163,0.123512,0.01249597,0.01733215,0.005912611,0.001030965],"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":[0.001095742,0.0003626783,0.1043133,0.0009685839,0.0004528484,0.0004464603,0.001582146,0.2846683,0.02007657,0.3224767,0.001815897,0.2617409],"study_design_scores_gemma":[0.00004566146,0.000767299,0.0338206,0.0002938746,0.0001257986,0.0008696984,0.0005529905,0.735105,0.01709449,0.2048813,0.006251866,0.0001915591],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1070316,0.000707158,0.8879234,0.000411271,0.00004448204,0.00009197339,0.0002275992,0.0002016308,0.003360968],"genre_scores_gemma":[0.7312825,0.0003957632,0.2661316,0.0001645448,0.000137403,0.0002785814,0.0004718761,0.000165543,0.0009721621],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0236821,"threshold_uncertainty_score":0.1252444,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07924252142416179,"score_gpt":0.4172000540061434,"score_spread":0.3379575325819816,"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."}}