{"id":"W3010193917","doi":"10.3171/2019.12.focus19820","title":"The Neurosurgical Atlas: advancing neurosurgical education in the digital age","year":2020,"lang":"en","type":"article","venue":"Neurosurgical FOCUS","topic":"Social Media in Health Education","field":"Social Sciences","cited_by":46,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Popularity; Audience measurement; Social media; Demographics; Atlas (anatomy); Analytics; The Internet; Page view; World Wide Web; Internet privacy; Medicine; Business; Advertising; Computer science; Data science; Psychology; Demography; Web navigation","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":["metaresearch","sts"],"consensus_categories":[],"category_scores_codex":[0.001269523,0.0002682963,0.0003247714,0.00005904573,0.00138015,0.0009182057,0.001099366,0.0002047203,0.00005140568],"category_scores_gemma":[0.01529512,0.000180711,0.0002099059,0.00148438,0.0007565432,0.0003753818,0.0001135903,0.001097536,0.0001853867],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001379602,"about_ca_system_score_gemma":0.0009564901,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000474168,"about_ca_topic_score_gemma":0.0003713013,"domain_scores_codex":[0.9945694,0.001750187,0.0007472871,0.0006444447,0.001285253,0.001003465],"domain_scores_gemma":[0.9878852,0.01080175,0.0002082063,0.0003900931,0.0001010232,0.0006136723],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0007951875,0.00173194,0.08683024,0.0000778422,0.00001492481,0.0007678931,0.04992822,0.0001068538,0.0002191007,0.1874741,0.03374778,0.6383059],"study_design_scores_gemma":[0.0003693162,0.000145918,0.03734622,0.00001377956,0.000009091178,0.00001663011,0.002142355,0.00007489024,0.000008679763,0.001275723,0.9583939,0.0002035425],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7605858,0.0004794163,0.00001613064,0.1875701,0.006908162,0.00235509,0.000008763778,0.0002356728,0.0418409],"genre_scores_gemma":[0.9914024,0.0005552021,0.00001678708,0.004314586,0.003050911,0.0004689303,0.000007781492,0.00003696024,0.0001463778],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9246461,"threshold_uncertainty_score":0.9999199,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05434848143103319,"score_gpt":0.3606755858450678,"score_spread":0.3063271044140346,"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."}}