{"id":"W4388974114","doi":"10.1017/s1474746423000416","title":"Some Useful Sources","year":2023,"lang":"en","type":"article","venue":"Social Policy and Society","topic":"Social Policy and Reform Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Content (measure theory); Computer science; Action (physics); Mathematics; Physics","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002886725,0.001830988,0.001388109,0.01658081,0.002055173,0.007121044,0.002764397,0.002284047,0.7961277],"category_scores_gemma":[0.0285235,0.0009672444,0.00124817,0.020677,0.0004550365,0.005490427,0.003182841,0.002351767,0.6415626],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002563915,"about_ca_system_score_gemma":0.003619372,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0146757,"about_ca_topic_score_gemma":0.0198139,"domain_scores_codex":[0.9979449,0.0003558436,0.000267911,0.0002236057,0.001042002,0.0001657239],"domain_scores_gemma":[0.9842349,0.004152238,0.0005279855,0.002023157,0.008159052,0.0009028104],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004153087,0.00001878091,0.0001221862,0.0004140851,0.000005627769,0.00005335671,0.00009688557,0.00006522554,0.00008203006,0.001871243,0.9581951,0.03903392],"study_design_scores_gemma":[0.00001386826,0.000005070551,0.0002084632,0.0002789797,0.000004802212,0.00003483428,0.0000948093,0.00005907252,0.0001009221,0.001407941,0.9977779,0.00001336655],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"commentary","genre_scores_codex":[0.0005853839,0.002100199,0.009961473,0.006363488,0.002677142,0.0006739697,0.5817246,0.0169769,0.3789368],"genre_scores_gemma":[0.003582419,0.004169593,0.01647891,0.002978195,0.001167188,0.0009956248,0.3412047,0.01493019,0.6144931],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.7961277,"threshold_uncertainty_score":0.2907991,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04940556849061038,"score_gpt":0.3643801406448196,"score_spread":0.3149745721542092,"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."}}