{"id":"W2905199020","doi":"10.3968/10720","title":"Analyzing Early Marriage and Child Labor in Jordan","year":2018,"lang":"en","type":"article","venue":"Canadian social science","topic":"Poverty, Education, and Child Welfare","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Political science; Development economics; Economic growth; Economics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001377311,0.0002170209,0.0003781835,0.001549299,0.001737348,0.001268362,0.0007097137,0.0004554199,0.004281498],"category_scores_gemma":[0.00283407,0.0002126283,0.0003387354,0.003236991,0.0006401443,0.000590209,0.002189624,0.0008106608,0.0005544205],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002917678,"about_ca_system_score_gemma":0.005105161,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1488063,"about_ca_topic_score_gemma":0.2975331,"domain_scores_codex":[0.9992359,0.0002981281,0.00003323768,0.00004557338,0.0001050737,0.0002821797],"domain_scores_gemma":[0.9985507,0.0003197965,0.0002924002,0.00003387406,0.0003811476,0.0004220312],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005235758,0.0001410362,0.984988,0.00002558486,0.00002601437,0.0003786,0.007784731,0.0001550502,0.00004435058,0.0005876745,0.0006318897,0.005184839],"study_design_scores_gemma":[0.000006669376,0.00009258369,0.9003317,0.00007641436,0.00001749842,0.0001478381,0.09492014,0.0004426999,0.00007023715,0.0002228395,0.003661789,0.000009505837],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9974158,0.0003053842,0.00003596165,0.0002449759,0.000004507637,0.00001290574,0.0002493942,8.405139e-7,0.00173027],"genre_scores_gemma":[0.995831,0.000634445,0.0001238765,0.0001183915,0.00001267396,0.00003724666,0.0005271905,0.000002731181,0.002712591],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1488063,"threshold_uncertainty_score":0.2958803,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00856738300634678,"score_gpt":0.2647932996734874,"score_spread":0.2562259166671406,"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."}}