{"id":"W1988686725","doi":"10.1371/journal.pone.0062787","title":"Predictors of Reducing Sexual and Reproductive Risk Behaviors Based on the Information-Motivation-Behavioral Skills (IMB) Model among Unmarried Rural-To-Urban Female Migrants in Shanghai, China","year":2013,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Adolescent Sexual and Reproductive Health","field":"Health Professions","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Shanghai Municipal Education Commission; University of Calgary","keywords":"China; Demography; Sexual behavior; Reproductive health; Psychology; Environmental health; Developmental psychology; Medicine; Geography; Population","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001019992,0.0002667789,0.0004469414,0.0003385675,0.0006138044,0.00001512096,0.0002040376,0.0001898931,0.0001183737],"category_scores_gemma":[0.001193851,0.0001893976,0.00003357384,0.0005313611,0.0001918246,0.0005889293,0.0001174485,0.000948681,0.00004561112],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001882047,"about_ca_system_score_gemma":0.0002116332,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004741158,"about_ca_topic_score_gemma":0.00009746708,"domain_scores_codex":[0.9969899,0.0005141051,0.0009066205,0.0004842099,0.0005760159,0.0005291702],"domain_scores_gemma":[0.9977744,0.0002945558,0.0005992896,0.0007591698,0.0003623871,0.0002101565],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000102019,0.001891035,0.9539196,0.0002505423,0.00002512241,2.474198e-7,0.04015903,0.001279732,0.001613221,0.00002124501,0.0004991703,0.0002390474],"study_design_scores_gemma":[0.0006934017,0.0003312503,0.9787932,0.0008518063,0.00006085712,9.096814e-8,0.01022263,0.00772097,0.001054406,0.00006426746,0.000001632502,0.0002054751],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9937267,0.00001191627,0.00005930157,0.001315394,0.0001445527,0.004354209,0.0001376377,0.00007424376,0.0001760489],"genre_scores_gemma":[0.9978216,0.00001128084,0.0004382893,0.0002470992,0.000194282,0.0004946573,0.0000697475,0.00003257879,0.0006905163],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02993639,"threshold_uncertainty_score":0.772341,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05855453361513748,"score_gpt":0.3217282293980813,"score_spread":0.2631736957829438,"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."}}