{"id":"W2359841782","doi":"","title":"Analysis of papers published in Chinese Journal of Optometry & Ophthalmology from 1999 to 2008","year":2009,"lang":"en","type":"article","venue":"Chinese Journal of Optometry & Ophthalmology","topic":"Demographic Trends and Gender Preferences","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"China; Beijing; Optometry; Bibliometrics; Ophthalmology; Library science; Medicine; History; Archaeology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.004199287,0.0005001408,0.002661699,0.009686763,0.0001736737,0.0001194567,0.002087236,0.0005394713,0.004413021],"category_scores_gemma":[0.003333538,0.0003453127,0.001228679,0.01690685,0.0004695906,0.0008531045,0.0001454679,0.001037369,0.000004345675],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000140485,"about_ca_system_score_gemma":0.0004383493,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000460783,"about_ca_topic_score_gemma":0.00003054645,"domain_scores_codex":[0.9937343,0.001123799,0.002535596,0.0004735329,0.001355389,0.0007773823],"domain_scores_gemma":[0.9940997,0.001241258,0.002451078,0.0005006311,0.001044833,0.0006624612],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005020272,0.0007809798,0.98679,0.0000111412,0.001519652,0.001238148,0.00453893,0.0006680992,0.001180448,0.00001516492,0.0002478359,0.00250758],"study_design_scores_gemma":[0.001216763,0.001074431,0.9921705,0.00005377527,0.0004297964,0.001583172,0.001460198,0.00001866087,0.00003037422,0.001546671,0.0001154029,0.0003002984],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9812202,0.003490242,0.00003657198,0.001976414,0.001889374,0.0001349033,0.00004658459,0.000009016006,0.01119663],"genre_scores_gemma":[0.9967268,0.0003249421,0.0019237,0.0001313454,0.0006992148,0.000001827464,0.00001247636,0.00001992675,0.0001598314],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01550647,"threshold_uncertainty_score":0.9998999,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0189893928125003,"score_gpt":0.388896739957076,"score_spread":0.3699073471445757,"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."}}