{"id":"W4320084597","doi":"10.1007/978-3-031-20719-8_11","title":"Models for Ordinal Responses","year":2022,"lang":"en","type":"book-chapter","venue":"Use R!","topic":"Community Health and Development","field":"Health Professions","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"Polytechnique Montréal; McMaster University","funders":"","keywords":"Categorical variable; Multinomial distribution; Focus (optics); Ordinal data; Ordinal Scale; Set (abstract data type); Econometrics; Order (exchange); Sequence (biology); Scale (ratio); Computer science; Operations research; Statistics; Mathematical economics; Mathematics; Economics; Geography; Cartography; Chemistry","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":[0.01152442,0.003023373,0.002178037,0.00171092,0.001020841,0.003647804,0.004627868,0.002454879,0.08957319],"category_scores_gemma":[0.04087318,0.001401109,0.004203579,0.002394706,0.001762257,0.005964621,0.002593343,0.007080146,0.04091029],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002292066,"about_ca_system_score_gemma":0.001723403,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007101558,"about_ca_topic_score_gemma":0.009760625,"domain_scores_codex":[0.9891043,0.008785465,0.0002111073,0.0008607092,0.000763858,0.0002747304],"domain_scores_gemma":[0.9706661,0.02506823,0.0006850587,0.002164663,0.001168086,0.0002479105],"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":[0.00008193561,0.0000834225,0.00145176,0.0004223007,0.0003580302,0.00008887667,0.000322135,0.02442149,0.0001493274,0.7150179,0.13038,0.1272227],"study_design_scores_gemma":[0.00003186603,0.00005296485,0.0005627733,0.0001803643,0.00008310772,0.00009996055,0.0001255528,0.1128927,0.0001938664,0.8223944,0.06333811,0.0000443335],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.00132557,0.002616681,0.9530594,0.004299242,0.0006778311,0.0001448197,0.003673018,0.002720636,0.03148286],"genre_scores_gemma":[0.1384927,0.005626396,0.5808293,0.004978739,0.001932967,0.0034439,0.01328487,0.00433003,0.2470811],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.08957319,"threshold_uncertainty_score":0.2996522,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4060135829243818,"score_gpt":0.4747200915326178,"score_spread":0.06870650860823607,"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."}}