{"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":"codex-gemma-dda1882f352a","candidate_categories":["sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001236262,0.0003252001,0.0004197533,0.0001483735,0.001402897,0.00004928947,0.0007149814,0.0004416252,0.0008077125],"category_scores_gemma":[0.00006611535,0.0002400657,0.0001090979,0.0007319719,0.0001181338,0.0001490446,0.000267421,0.001019341,0.01064117],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000564392,"about_ca_system_score_gemma":0.001309466,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001141731,"about_ca_topic_score_gemma":0.0008044243,"domain_scores_codex":[0.996324,0.0006122311,0.0009903806,0.0006187083,0.0002072786,0.001247408],"domain_scores_gemma":[0.9968246,0.0005352617,0.0004503606,0.001134102,0.0003596804,0.0006959724],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00008638259,0.0002634638,0.007737122,0.0008139372,0.00006960755,0.000007230181,0.007998271,0.000001918609,0.03321735,0.001878472,0.9251996,0.02272665],"study_design_scores_gemma":[0.001380092,0.00003751106,0.0009034603,0.0002803585,0.00003734186,0.000009425943,0.002575249,0.00001791513,0.0002692115,0.001186046,0.9930635,0.0002398673],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4693948,0.1973751,0.003537839,0.2363766,0.01562109,0.03051852,0.003747107,0.003966572,0.03946243],"genre_scores_gemma":[0.7866088,0.02496872,0.05332546,0.04593705,0.0118863,0.02549284,0.001613274,0.0009248318,0.04924272],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.317214,"threshold_uncertainty_score":0.9998971,"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."}}