{"id":"W6982419916","doi":"","title":"The impact of patient characteristics and the Internet usage on potential PHR adoption in Primary Care","year":2019,"lang":"en","type":"dissertation","venue":"eScholarship@McGill (McGill)","topic":"demographic modeling and climate adaptation","field":"Decision Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Categorical variable; Logistic regression; Bivariate analysis; The Internet; Univariate; Multivariate analysis; Descriptive statistics; Multivariate statistics; Health care; Outcome (game theory)","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003275742,0.0001568244,0.00030404,0.0008900427,0.0004692714,0.001218789,0.0003485232,0.0006160408,0.002814316],"category_scores_gemma":[0.02251291,0.000188115,0.0006546339,0.001519908,0.0003410223,0.0008805983,0.0006114475,0.001011129,0.0002066887],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004819023,"about_ca_system_score_gemma":0.0007897873,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00306881,"about_ca_topic_score_gemma":0.00382704,"domain_scores_codex":[0.9969291,0.001527355,0.0004018942,0.0002795556,0.0005698591,0.0002922253],"domain_scores_gemma":[0.9724825,0.01766164,0.006660593,0.0007208015,0.0008830742,0.001591405],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007402077,0.00008227287,0.9978983,0.00001890562,0.00004116205,0.00005509672,0.0002044303,0.00002043211,0.00002444932,0.00001004214,0.00004914785,0.001521725],"study_design_scores_gemma":[0.000003797368,0.0002475402,0.9987597,0.00001782252,0.00003545314,0.0001648029,0.0004862738,0.0001597279,0.00002344653,0.00001697843,0.00008068663,0.000003636698],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9989154,0.0002740793,0.0000675291,0.0001184539,0.000004231277,0.00001923152,0.0002099272,0.000002999208,0.0003880961],"genre_scores_gemma":[0.9996511,0.00009404787,0.00007622252,0.00002321266,0.000005484563,0.00001440117,0.00008755933,0.000001276082,0.0000466549],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003275742,"threshold_uncertainty_score":0.01732397,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02437234396332774,"score_gpt":0.2904531135282191,"score_spread":0.2660807695648914,"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."}}