{"id":"W2975472285","doi":"10.5539/ass.v15n10p84","title":"Surrogacy in China: Public Opinion, Litigations, and Court Rulings","year":2019,"lang":"en","type":"article","venue":"Asian Social Science","topic":"Reproductive Health and Technologies","field":"Medicine","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"China; Law; Dilemma; Political science; Revocation; Vagueness; Public opinion; Sociology; Business; Law and 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":[0.01633667,0.0003308547,0.0005244626,0.004368005,0.0073286,0.005681851,0.001065151,0.003866418,0.003593514],"category_scores_gemma":[0.01811504,0.0003095852,0.0006633312,0.005864296,0.009283126,0.004620976,0.003147126,0.00327658,0.0001337759],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0207321,"about_ca_system_score_gemma":0.01508528,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.08197961,"about_ca_topic_score_gemma":0.07224024,"domain_scores_codex":[0.9919329,0.00200477,0.0004527079,0.0005831681,0.002633248,0.002393271],"domain_scores_gemma":[0.9785709,0.01122875,0.006029627,0.0004886111,0.002140549,0.001541586],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002459512,0.0004917789,0.4812887,0.0005147909,0.0001738307,0.008123451,0.247027,0.001382506,0.001269081,0.1603356,0.0269022,0.0722451],"study_design_scores_gemma":[0.00008008348,0.0002669478,0.6338565,0.000602281,0.0001983869,0.0007577927,0.2614202,0.007036803,0.001156334,0.02445421,0.06986687,0.0003033853],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9433281,0.001838134,0.0002032405,0.03612009,0.00009246431,0.00004019032,0.0001323071,0.000009097173,0.0182364],"genre_scores_gemma":[0.9950714,0.000905624,0.00005218085,0.002399982,0.0001457005,0.00001743269,0.00005826338,0.000002375789,0.001347126],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08197961,"threshold_uncertainty_score":0.1630049,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01958989059276036,"score_gpt":0.3235199556967127,"score_spread":0.3039300651039524,"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."}}