{"id":"W4380568692","doi":"10.51952/9781447364306.fm001","title":"Front Matter","year":2023,"lang":"en","type":"paratext","venue":"Policy Press eBooks","topic":"Social Work Education and Practice","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Front (military); Computer science; Physics; Meteorology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0005270911,0.0001986291,0.0002594452,0.0001548057,0.0008332118,0.000324626,0.0005133897,0.0004583292,0.02786653],"category_scores_gemma":[0.0004922491,0.0002156547,0.0001317896,0.00008276365,0.0002348248,0.00006720533,0.00009883333,0.0004538706,0.3522637],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002894427,"about_ca_system_score_gemma":0.001619675,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.08922015,"about_ca_topic_score_gemma":0.001140922,"domain_scores_codex":[0.9978086,0.0005737068,0.0002342938,0.0003052889,0.00055083,0.0005272971],"domain_scores_gemma":[0.9986688,0.0004826972,0.0002329497,0.0002558497,0.0001472077,0.0002124335],"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":[0.000004961117,0.000009349887,0.000002303412,0.0000227294,0.00003877996,5.877171e-7,0.0155751,6.807443e-7,5.22771e-7,0.02220678,0.9610358,0.001102368],"study_design_scores_gemma":[0.00006431973,0.000003254073,0.00003257289,0.00002178418,0.00002201831,2.375641e-7,0.0006914143,2.241607e-7,0.00001050318,0.001502911,0.9974187,0.0002320411],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.000003674632,0.0002423074,0.000007736611,0.01143876,0.005561584,0.0003463992,0.00008984435,0.0001192726,0.9821904],"genre_scores_gemma":[0.0002277694,0.0002555191,0.00003080286,0.005086602,0.01007023,0.00018306,0.00003323428,0.00006599644,0.9840468],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.3243972,"threshold_uncertainty_score":0.9730221,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1034773080353013,"score_gpt":0.4367733802916945,"score_spread":0.3332960722563932,"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."}}