{"id":"W1608475368","doi":"","title":"Path Selection of the Legalization for Same-Sex Marriage of China","year":2014,"lang":"en","type":"article","venue":"Cross-cultural communication","topic":"Discrimination and Equality Law","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Legalization; China; Focus (optics); Selection (genetic algorithm); Political science; Sex selection; Sociology; Gender studies; Law; Demography; Computer science","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009357084,0.00005207241,0.00009550195,0.00001647422,0.0006495968,0.00009209145,0.000389581,0.00006785524,0.00003696108],"category_scores_gemma":[0.0007707709,0.00003775282,0.0000777468,0.0002015384,0.0004783282,0.000412137,0.0000454806,0.00005573365,0.000001358497],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004757886,"about_ca_system_score_gemma":0.00002987858,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001437102,"about_ca_topic_score_gemma":0.001299106,"domain_scores_codex":[0.999059,0.0003417092,0.0002395724,0.00007633038,0.0001918984,0.00009149384],"domain_scores_gemma":[0.9989035,0.00007854262,0.0002748604,0.0002681801,0.0004542525,0.00002073243],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.00001690394,0.00005569552,0.007257335,0.00005384611,0.000007741009,8.916822e-10,0.01992147,0.00004989454,0.004207616,0.9600908,0.0007178106,0.007620886],"study_design_scores_gemma":[0.001586862,0.0001804291,0.5282586,0.0002092421,0.00008914229,5.018001e-7,0.008461426,0.004541024,0.04602563,0.1246339,0.2855871,0.0004262065],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9204032,0.00002263245,0.001653724,0.002518888,0.0001445698,0.0004470981,0.00001345327,0.00004724153,0.0747492],"genre_scores_gemma":[0.9969583,0.00002657403,0.0004287061,0.00006318652,0.00003583312,0.00001820985,0.0000421087,0.000004454173,0.002422669],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8354569,"threshold_uncertainty_score":0.4996239,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04099966749386946,"score_gpt":0.3862058193823412,"score_spread":0.3452061518884717,"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."}}