{"id":"W4403402043","doi":"10.1007/978-3-031-70618-9_1","title":"Introduction","year":2024,"lang":"en","type":"book-chapter","venue":"Sustainable development goals series","topic":"Multiculturalism, Politics, Migration, Gender","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Windsor","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.000646426,0.000442868,0.0003817432,0.0003014535,0.001011812,0.0005451397,0.0003017754,0.0004582053,0.003482317],"category_scores_gemma":[0.0002033724,0.0004332023,0.0001154545,0.00009235344,0.000715304,0.0006601707,0.0001875931,0.0003523145,0.001265615],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005386935,"about_ca_system_score_gemma":0.004741607,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006384453,"about_ca_topic_score_gemma":0.001962997,"domain_scores_codex":[0.9971912,0.0000427904,0.0005505071,0.0006403771,0.0007410702,0.0008340466],"domain_scores_gemma":[0.9983235,0.00003609647,0.000192042,0.0003008775,0.0009563494,0.000191122],"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":[0.000007981638,0.000006107105,0.000009669627,0.0002728646,0.0001015673,0.00005612801,0.04292864,0.00000395516,0.000002698693,0.8180609,0.138256,0.0002934606],"study_design_scores_gemma":[0.00005542858,0.00001271913,0.00005395312,0.0000579015,0.00004701491,0.000004814295,0.05566287,2.558375e-7,0.000154743,0.0285627,0.9148649,0.0005226661],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.000468566,0.001400908,0.00001467327,0.02094185,0.001813737,0.0009201658,0.00001465204,0.000512552,0.9739129],"genre_scores_gemma":[0.0004098256,0.0005813314,0.0005668609,0.0005532306,0.002713776,0.00005836599,0.0002514291,0.00008257861,0.9947826],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.7894982,"threshold_uncertainty_score":0.9998119,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04490611484646673,"score_gpt":0.3272646282646329,"score_spread":0.2823585134181661,"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."}}