{"id":"W2195502323","doi":"10.1186/s40168-015-0138-x","title":"Self-tracking the microbiome: where do we go from here?","year":2015,"lang":"en","type":"article","venue":"Microbiome","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; Université du Québec à Montréal","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Popularity; Microbiome; Citizen science; BitTorrent tracker; Internet privacy; Tracking (education); Precision medicine; Personalized medicine; Psychological intervention; Social media; Data science; Online community; Health care; Biology; Psychology; Bioinformatics; Computer science; Social psychology; Eye tracking; World Wide Web; Artificial intelligence","routes":{"ca_aff":true,"ca_fund":true,"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":[0.07916135,0.001014939,0.00200126,0.001921762,0.005114074,0.01465105,0.002106157,0.01055835,0.00638502],"category_scores_gemma":[0.1935089,0.0006485197,0.001416088,0.00201308,0.02041217,0.02827585,0.007634002,0.01094434,0.002271395],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002953504,"about_ca_system_score_gemma":0.0100326,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0049035,"about_ca_topic_score_gemma":0.004867812,"domain_scores_codex":[0.9511814,0.0371161,0.001502278,0.003491593,0.005615318,0.001093353],"domain_scores_gemma":[0.7997696,0.1533804,0.01392538,0.01308749,0.01492441,0.004912717],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.001014668,0.0004442869,0.0528565,0.006321525,0.0004385648,0.000626311,0.02495472,0.000700862,0.00273919,0.2167909,0.05929381,0.6338187],"study_design_scores_gemma":[0.0001280254,0.001059775,0.01967048,0.02006217,0.0005095081,0.001700955,0.03384192,0.001734274,0.004010394,0.5529702,0.3639089,0.000403345],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.01363123,0.09465565,0.04191997,0.8302244,0.00632187,0.000255639,0.0003857477,0.0001884109,0.01241703],"genre_scores_gemma":[0.3868597,0.189138,0.1079658,0.293101,0.01174181,0.001693695,0.0004781343,0.0004820366,0.008539917],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.07916135,"threshold_uncertainty_score":0.4186503,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05413506322783649,"score_gpt":0.3893922508924271,"score_spread":0.3352571876645906,"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."}}