{"id":"W2013365029","doi":"10.1007/s13187-014-0711-1","title":"Sifting Through It All: Characterizing Melanoma Patients’ Utilization of the Internet as an Information Source","year":2014,"lang":"en","type":"article","venue":"Journal of Cancer Education","topic":"Social Media in Health Education","field":"Social Sciences","cited_by":42,"is_retracted":false,"has_abstract":false,"ca_institutions":"BC Cancer Agency; University of British Columbia","funders":"","keywords":"Medicine; Melanoma; The Internet; Information source (mathematics); Health professionals; Disease; Family medicine; Internet privacy; Health care; Internal medicine; World Wide Web; Cancer research","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007218984,0.0001465324,0.0002245632,0.001477123,0.0004984706,0.001639143,0.0003732398,0.0006835294,0.004132712],"category_scores_gemma":[0.008189684,0.0001663557,0.0004094915,0.00126949,0.0002470517,0.001474319,0.0007914822,0.0008067767,0.0005808776],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003206744,"about_ca_system_score_gemma":0.0004923834,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003371968,"about_ca_topic_score_gemma":0.005352075,"domain_scores_codex":[0.999273,0.0002051775,0.0001537398,0.00007021308,0.0001896428,0.0001081911],"domain_scores_gemma":[0.9927406,0.002043441,0.003546814,0.0002129426,0.0006019369,0.000854457],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001099843,0.0002407791,0.988576,0.00005327202,0.00007446657,0.0001384487,0.001787051,0.0000263901,0.000333174,0.00004801663,0.0004077177,0.008204787],"study_design_scores_gemma":[0.00000879729,0.0001940148,0.9872369,0.00006152499,0.0001143903,0.001026638,0.009055839,0.0004011497,0.0002125435,0.00007557151,0.001595894,0.00001671921],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9976114,0.0002212928,0.00005182908,0.0002468064,0.000006448139,0.00001715949,0.0003004529,0.000003707427,0.001540904],"genre_scores_gemma":[0.9987663,0.0002525947,0.000159689,0.0001109087,0.00001135648,0.00001166796,0.0002376184,0.000003682476,0.0004462633],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004132712,"threshold_uncertainty_score":0.0138253,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06910958504260757,"score_gpt":0.43812906121661,"score_spread":0.3690194761740024,"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."}}