{"id":"W4407277923","doi":"10.62787/mhm.v1i1.7","title":"性相近、习相远","year":2023,"lang":"en","type":"article","venue":"The Journal of Medicine Humanity and Media","topic":"Health Promotion and Cardiovascular Prevention","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Royal Roads University","funders":"","keywords":"Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008677432,0.00006914674,0.0002931246,0.0001588799,0.0001160077,0.000002962883,0.00006938507,0.00004772973,0.0002987674],"category_scores_gemma":[0.0007416398,0.0000363666,0.00008494299,0.0001935567,0.000193585,0.00005113975,0.0000223241,0.0003716778,0.00003725282],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001998845,"about_ca_system_score_gemma":0.00007296861,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001112394,"about_ca_topic_score_gemma":0.00001061648,"domain_scores_codex":[0.9985611,0.0004343063,0.0003386257,0.00005029827,0.0004765116,0.000139108],"domain_scores_gemma":[0.9991609,0.0001938234,0.0001418062,0.0001407559,0.0001635229,0.0001991966],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0005043068,0.0002733293,0.001552054,0.001334984,0.0009143372,0.0007758904,0.05013674,0.000007867695,0.01080015,0.003659039,0.2306243,0.6994171],"study_design_scores_gemma":[0.01416617,0.002620528,0.7412664,0.001946025,0.001820069,0.006973254,0.01507112,0.0001002919,0.0004418845,0.007697584,0.207711,0.0001857064],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9556513,0.003789589,0.001310432,0.03141548,0.001188067,0.0002652515,8.856937e-7,0.00004773864,0.006331188],"genre_scores_gemma":[0.9893138,0.00661599,0.00002696253,0.001406806,0.001754492,0.000001079043,0.000004958385,0.000009490498,0.0008664632],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7397143,"threshold_uncertainty_score":0.3271294,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07606089328459618,"score_gpt":0.348705229950917,"score_spread":0.2726443366663208,"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."}}