{"id":"W4248343983","doi":"10.1007/978-1-4939-7131-2_100969","title":"Regression Model","year":2018,"lang":"en","type":"book-chapter","venue":"","topic":"Advanced Statistical Methods and Models","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001188268,0.001452906,0.001073676,0.0009419817,0.0003867428,0.001870777,0.0017158,0.001317119,0.05692492],"category_scores_gemma":[0.004080635,0.0004315163,0.001158074,0.001211894,0.0005631238,0.001861716,0.001256641,0.002451664,0.05058946],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006765646,"about_ca_system_score_gemma":0.0009573245,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002162458,"about_ca_topic_score_gemma":0.002024173,"domain_scores_codex":[0.9990156,0.0002800878,0.00003582154,0.0003048355,0.0003151311,0.00004847112],"domain_scores_gemma":[0.9991379,0.0003753377,0.00004266733,0.0002112499,0.0002044689,0.0000283345],"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":[0.00004806203,0.00008384413,0.0005494691,0.0003392456,0.0001108938,0.000113454,0.00006922464,0.04385487,0.001946898,0.4382063,0.2014121,0.3132657],"study_design_scores_gemma":[0.00002162492,0.00004306136,0.000487968,0.000157986,0.00007514928,0.0002327269,0.00004934839,0.2171503,0.002178709,0.396148,0.3834099,0.00004530463],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.001252572,0.002631458,0.8989941,0.002361837,0.001068068,0.00006308976,0.002645609,0.002611214,0.08837221],"genre_scores_gemma":[0.08018053,0.009491485,0.3134055,0.002590606,0.002125937,0.00060879,0.01291938,0.003471316,0.5752065],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.05692492,"threshold_uncertainty_score":0.1904328,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2797627223751932,"score_gpt":0.4645554742713492,"score_spread":0.1847927518961561,"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."}}