{"id":"W4400209946","doi":"10.4324/9781003499787-2","title":"Growing Together","year":2024,"lang":"en","type":"book-chapter","venue":"","topic":"Migration, Ethnicity, and Economy","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004999836,0.0009029214,0.000537294,0.001281703,0.008780034,0.007849622,0.001560249,0.00148853,0.4270564],"category_scores_gemma":[0.001527702,0.0003107633,0.0005212695,0.001884989,0.0011987,0.004077733,0.00747852,0.002664961,0.2700958],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003481257,"about_ca_system_score_gemma":0.005571229,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04874074,"about_ca_topic_score_gemma":0.1554347,"domain_scores_codex":[0.9991302,0.00007457761,0.00002702387,0.0001490904,0.0003810151,0.0002381309],"domain_scores_gemma":[0.9990959,0.00003122689,0.00002443554,0.00007611295,0.000354042,0.0004183024],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.00002317293,0.0000258138,0.000419906,0.0001040958,0.000005917175,0.0002199203,0.002648447,0.00005770738,0.0005372819,0.02707747,0.830683,0.1381974],"study_design_scores_gemma":[6.278639e-7,0.000002530562,0.0001444941,0.00002551401,9.277086e-7,0.00003848927,0.0005441741,0.000006792096,0.00002820421,0.0005131411,0.998693,0.00000204706],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.00134758,0.001812933,0.001315193,0.00624834,0.004756121,0.0000931174,0.0006156478,0.0005127835,0.9832984],"genre_scores_gemma":[0.003440409,0.0007640029,0.0006669643,0.00129158,0.0002592364,0.00001911534,0.0003912849,0.0002009554,0.9929664],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.4270564,"threshold_uncertainty_score":0.8172345,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03726649269542548,"score_gpt":0.2886800547936928,"score_spread":0.2514135620982673,"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."}}