{"id":"W1490835716","doi":"10.1002/9781118445112.stat01689","title":"Minimum Chi‐Square","year":2014,"lang":"en","type":"other","venue":"Wiley StatsRef: Statistics Reference Online","topic":"Spatial and Panel Data Analysis","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Encyclopedia; Citation; Library science; Square (algebra); Computer science; Information retrieval; Mathematics","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":[0.01776389,0.001640448,0.004492774,0.005043097,0.002050014,0.003772643,0.00558425,0.003754766,0.1565057],"category_scores_gemma":[0.1669448,0.001261098,0.003503768,0.005222942,0.002668082,0.004021707,0.002343477,0.006100117,0.04187182],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001172044,"about_ca_system_score_gemma":0.003212838,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002279502,"about_ca_topic_score_gemma":0.003173105,"domain_scores_codex":[0.974349,0.01265264,0.001759961,0.005898596,0.004328849,0.001011044],"domain_scores_gemma":[0.8381442,0.1259149,0.003401297,0.02198422,0.009379704,0.0011758],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00342154,0.0007331269,0.01864791,0.003209714,0.00149817,0.001027005,0.0008659482,0.01258693,0.001771857,0.145393,0.2024918,0.6083528],"study_design_scores_gemma":[0.001388049,0.003058494,0.04598828,0.00266048,0.00122065,0.004988497,0.001614593,0.1568345,0.008200143,0.4877872,0.2857672,0.0004919583],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.02236007,0.001775138,0.9064163,0.001681383,0.001538355,0.00173683,0.01658245,0.007248536,0.04066087],"genre_scores_gemma":[0.2358511,0.0008406178,0.6583133,0.00161041,0.001053117,0.01029419,0.02554602,0.004602869,0.06188841],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.1565057,"threshold_uncertainty_score":0.5235636,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05528076570109629,"score_gpt":0.2666231893610857,"score_spread":0.2113424236599894,"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."}}