{"id":"W3036413052","doi":"10.13140/rg.2.2.20506.26564","title":"Choices Post Discharge Project. Evaluation Report","year":2019,"lang":"en","type":"article","venue":"UWA Profiles and Research Repository (UWA)","topic":"Homelessness and Social Issues","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Institute of Population and Public Health","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":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.005353826,0.0001986009,0.0004698951,0.0002493512,0.002223535,0.0001197908,0.0002596266,0.0003641978,0.0003758893],"category_scores_gemma":[0.0005505113,0.000146413,0.00008395639,0.0003764161,0.000201706,0.0003689012,0.0003082058,0.001079518,0.0002750913],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001971091,"about_ca_system_score_gemma":0.001160617,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005157061,"about_ca_topic_score_gemma":0.00004293293,"domain_scores_codex":[0.9941785,0.002087334,0.0006447234,0.0006572856,0.001560116,0.0008720466],"domain_scores_gemma":[0.9967874,0.0005446327,0.0002669439,0.0005834139,0.00160278,0.0002148452],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002868584,0.0003779511,0.8325458,0.003115999,0.0001812787,0.0002042384,0.0459127,0.000001521196,0.09515698,0.01121059,0.003277025,0.007729096],"study_design_scores_gemma":[0.002983326,0.0009391249,0.5168898,0.001855592,0.0001019809,0.00002805341,0.2807049,0.001592661,0.05564682,0.00140308,0.1368531,0.001001585],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9147585,0.001262719,0.00000238148,0.0004594319,0.001095297,0.003490628,0.00001742771,0.00008911263,0.0788245],"genre_scores_gemma":[0.9479397,0.0002135109,0.00006019737,0.000026632,0.001160713,0.000930562,0.000096054,0.00004229631,0.04953032],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.315656,"threshold_uncertainty_score":0.9990754,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1218433820142796,"score_gpt":0.5090426506682796,"score_spread":0.387199268654,"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."}}