{"id":"W3145588269","doi":"10.29173/iasl7812","title":"Issues in Teen Technology Use to Find Health Information","year":2021,"lang":"en","type":"article","venue":"IASL Annual Conference Proceedings","topic":"Health Literacy and Information Accessibility","field":"Health Professions","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Anonymity; Internet privacy; Health information; The Internet; Information technology; Health information technology; Public relations; Business; Psychology; Health care; Computer science; World Wide Web; Political science; Computer security","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001430845,0.0001793728,0.000385724,0.0005012614,0.000444183,0.0001294484,0.0002684251,0.0003048895,0.0005369335],"category_scores_gemma":[0.002905255,0.000166722,0.00002751748,0.001328288,0.00004472457,0.005886529,0.0002744512,0.0008806622,0.0009304768],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002694841,"about_ca_system_score_gemma":0.001424905,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006113389,"about_ca_topic_score_gemma":0.0001517358,"domain_scores_codex":[0.9969075,0.00007890644,0.001716844,0.0002707046,0.0002891736,0.0007369041],"domain_scores_gemma":[0.996338,0.000100292,0.0004782529,0.0001955118,0.002605535,0.0002824479],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00007944577,0.00006302142,0.5097964,0.001028856,0.000004913627,9.739374e-7,0.4034004,0.000001301584,0.00002426481,0.01051592,0.03118554,0.04389893],"study_design_scores_gemma":[0.000639537,0.0001409549,0.3291013,0.0007059841,0.000001816586,0.000004011829,0.1694089,0.0004404068,0.0001407701,0.001824064,0.4973435,0.0002487272],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9538548,0.00005013934,0.0008000489,0.04068293,0.0002527287,0.001001958,0.0001118699,0.0002117112,0.00303379],"genre_scores_gemma":[0.9645832,0.00009223083,0.005975948,0.0268434,0.00007859544,0.0002571705,0.00008268707,0.000009629072,0.002077134],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.466158,"threshold_uncertainty_score":0.9998474,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06112314022087374,"score_gpt":0.4401412099854575,"score_spread":0.3790180697645838,"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."}}