{"id":"W2978140242","doi":"","title":"The Individuality of Challenges to Technology Approaches to Personally Collected Health Data","year":2017,"lang":"en","type":"article","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Data Analysis and Archiving","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Computer science; Data science; Internet privacy","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":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.01426233,0.00009284808,0.0002109402,0.000120865,0.003152439,0.0003858021,0.004088537,0.00005280549,0.00001733346],"category_scores_gemma":[0.008010223,0.00007855579,0.0000456749,0.0003987198,0.0005091162,0.000182383,0.001763524,0.0001363411,0.00001204776],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004414047,"about_ca_system_score_gemma":0.0003651849,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005001459,"about_ca_topic_score_gemma":0.1569932,"domain_scores_codex":[0.9955585,0.003015088,0.0002874158,0.0004219149,0.0003997786,0.0003173325],"domain_scores_gemma":[0.9950735,0.0009452954,0.0003638934,0.003016239,0.0004222045,0.0001788717],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000004697568,0.0001680106,0.003764613,0.00001619068,0.00004912714,2.705462e-7,0.05360353,0.000001155073,0.000124743,0.5632534,0.001803665,0.3772106],"study_design_scores_gemma":[0.0004358747,0.000002921026,0.1537282,0.0008249877,0.00004468615,0.000001649793,0.02462795,0.00145436,0.001961699,0.008522814,0.8079121,0.0004828018],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.09368748,0.001234421,0.01452385,0.7711694,0.00009388651,0.0006680428,0.0002558794,0.0001186071,0.1182484],"genre_scores_gemma":[0.9724991,0.001084486,0.02192738,0.0001164336,0.00001802598,0.00002343748,0.00007313108,0.00001011968,0.004247885],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8788116,"threshold_uncertainty_score":0.9981453,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1704886789389499,"score_gpt":0.3300058848957464,"score_spread":0.1595172059567966,"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."}}