{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.2082462,0.0008080135,0.001534119,0.005683145,0.008416586,0.0304334,0.00649116,0.009278768,0.01040135],"category_scores_gemma":[0.3518528,0.001002961,0.001720997,0.005136879,0.03203217,0.03215107,0.01801935,0.01399567,0.0026743],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007748784,"about_ca_system_score_gemma":0.01169,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005246633,"about_ca_topic_score_gemma":0.006221912,"domain_scores_codex":[0.8164376,0.1393698,0.006192988,0.009007883,0.0262652,0.002726476],"domain_scores_gemma":[0.350694,0.5504475,0.01179469,0.03895019,0.03961168,0.008501829],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0002473288,0.0002040825,0.01381599,0.002932995,0.0004334284,0.0007821289,0.06163485,0.002908884,0.001609585,0.5169924,0.04941357,0.3490247],"study_design_scores_gemma":[0.00004040372,0.0001607869,0.004633746,0.003862768,0.00011147,0.002450079,0.06536262,0.00527151,0.001432906,0.6573245,0.2591176,0.0002316804],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.02884441,0.01929582,0.199985,0.6854819,0.004486261,0.000359328,0.0005049189,0.0004365862,0.06060574],"genre_scores_gemma":[0.6396193,0.02880969,0.232826,0.07179856,0.009863223,0.002090277,0.0005835009,0.001133765,0.0132757],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.2082462,"threshold_uncertainty_score":0.9763734,"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."}}