{"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":"codex-gemma-dda1882f352a","candidate_categories":["sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000819651,0.0002354283,0.0003984331,0.0002300417,0.001809847,0.00000832136,0.0002610777,0.0003359705,0.00745938],"category_scores_gemma":[0.0002416978,0.000235807,0.0001205175,0.000024044,0.00002631323,0.00009869302,0.0004409666,0.001481128,0.0002991496],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005360556,"about_ca_system_score_gemma":0.002322085,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003571332,"about_ca_topic_score_gemma":0.000429414,"domain_scores_codex":[0.9982043,0.0001924194,0.000578589,0.0002613597,0.0002737935,0.0004895234],"domain_scores_gemma":[0.9956846,0.003036447,0.0002633826,0.0006275157,0.0001745133,0.000213514],"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":[0.001038322,0.00001877146,0.00005236327,0.0006282539,0.00004373206,0.00001161064,0.002154165,0.000009036923,4.501376e-7,0.7268061,0.2642862,0.00495099],"study_design_scores_gemma":[0.0004747011,0.00009289831,0.00005198256,0.0002309034,0.00002293874,0.000001668895,0.0001474921,0.00007058871,9.593124e-8,0.07471841,0.9239698,0.0002185373],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0002869454,0.0007301774,0.0007097644,0.003661045,0.001903661,0.003662244,0.001043024,0.0002355129,0.9877676],"genre_scores_gemma":[0.0002448362,0.0007568538,0.002689592,0.006100812,0.0002725873,0.0007213476,0.0003964499,0.00009463378,0.9887229],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.6596836,"threshold_uncertainty_score":0.9994897,"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."}}