{"id":"W2618933612","doi":"10.3171/2017.3.peds16552","title":"Social media networking in pediatric hydrocephalus: a point-prevalence analysis of utilization","year":2017,"lang":"en","type":"article","venue":"Journal of Neurosurgery Pediatrics","topic":"Social Media in Health Education","field":"Social Sciences","cited_by":34,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hospital for Sick Children; Université de Montréal; Centre Hospitalier Universitaire Sainte-Justine","funders":"","keywords":"Social media; Popularity; Medicine; Categorization; Point (geometry); Internet privacy; Psychology; Computer science; World Wide Web; Social psychology","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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.00430074,0.0001387274,0.0006166443,0.001982963,0.0006572858,0.0001179987,0.0006700293,0.0002168288,0.00003879698],"category_scores_gemma":[0.02746074,0.0001532121,0.0003444061,0.003556718,0.0002025368,0.0007697369,0.00005960394,0.0004147969,0.000001840789],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002134089,"about_ca_system_score_gemma":0.00105234,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001933433,"about_ca_topic_score_gemma":0.0005302726,"domain_scores_codex":[0.9962434,0.000604813,0.001303194,0.0002029205,0.001214192,0.0004315366],"domain_scores_gemma":[0.9896054,0.005613424,0.003694779,0.0002338014,0.0006400002,0.0002126103],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002989051,0.0001088603,0.9804843,0.0000820176,0.00001722161,0.00001700733,0.01252242,0.00009640935,0.000003580957,0.0001003555,0.0006115308,0.005926417],"study_design_scores_gemma":[0.0001984573,0.00002138534,0.9969109,0.00001582859,0.0007557485,0.000001178407,0.0006102485,0.0001485113,0.000002481427,0.0003497452,0.0008623742,0.00012314],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9868788,0.001155253,0.00004906785,0.001450601,0.009939658,0.0002025623,0.000005650244,0.00001203338,0.0003064036],"genre_scores_gemma":[0.973036,0.01764238,0.00006509818,0.0000581702,0.009164643,0.000008977997,0.000001991802,0.00001636011,0.000006391378],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02316,"threshold_uncertainty_score":0.9807314,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1971591652563965,"score_gpt":0.4140419354511182,"score_spread":0.2168827701947216,"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."}}