{"id":"W3003684541","doi":"10.2196/12677","title":"Cyberphysical Human Sexual Behavior Acquisition System (SeBA): Development and Implementation Study in China","year":2020,"lang":"en","type":"article","venue":"JMIR mhealth and uhealth","topic":"Sexuality, Behavior, and Technology","field":"Psychology","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Social Science Fund of China; National Natural Science Foundation of China","keywords":"Sexual behavior; Data collection; Computer science; Reproductive health; Intervention (counseling); Psychology; Data science; Social psychology; Medicine; Environmental health; Population; Statistics; Mathematics; Psychiatry","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":[0.0004237921,0.0002129345,0.0003893105,0.0001609877,0.0003017673,0.00002597342,0.0001031004,0.0001520645,0.00005062174],"category_scores_gemma":[0.000002223657,0.0002150302,0.00001299821,0.0002514581,0.00006140555,0.000075288,0.00007427452,0.0003363263,0.00001473055],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001654444,"about_ca_system_score_gemma":0.0001040152,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001836982,"about_ca_topic_score_gemma":0.001182129,"domain_scores_codex":[0.9977275,0.000269305,0.000651129,0.0006317463,0.0001967825,0.0005236124],"domain_scores_gemma":[0.99922,0.00002404575,0.00018789,0.0002030652,0.00002257444,0.0003423816],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001271835,0.001118419,0.8477412,0.0003719439,0.00001429299,0.00007071249,0.04856329,4.89578e-8,0.0001212551,0.01386578,0.0002048361,0.08780097],"study_design_scores_gemma":[0.00243702,0.001669338,0.9529571,0.000009323636,0.00004318677,0.00002022549,0.04228247,0.000004977274,0.00002218991,0.00001287012,0.0003718823,0.0001694164],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.996748,0.0001660066,0.00001353017,0.0007242652,0.0001627445,0.001791604,0.00001948127,0.0001831849,0.0001911347],"genre_scores_gemma":[0.9985152,0.000003354636,0.00007964752,0.0004122184,0.0001450657,0.0006657639,0.0001089602,0.00002436742,0.00004540571],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1052158,"threshold_uncertainty_score":0.8768677,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08563697228232559,"score_gpt":0.4558971490056535,"score_spread":0.3702601767233279,"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."}}