{"id":"W2783072167","doi":"10.1186/s40168-017-0394-z","title":"“Available upon request”: not good enough for microbiome data!","year":2018,"lang":"en","type":"editorial","venue":"Microbiome","topic":"Gut microbiota and health","field":"Biochemistry, Genetics and Molecular Biology","cited_by":51,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"","keywords":"Microbiome; Credibility; Data science; Metadata; Publication; Transparency (behavior); Computer science; Open science; Cyberinfrastructure; Biology; World Wide Web; Bioinformatics; Political science","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","open_science"],"consensus_categories":[],"category_scores_codex":[0.01070882,0.002190825,0.002291583,0.002267684,0.002583274,0.00752794,0.003741449,0.01022847,0.06367895],"category_scores_gemma":[0.06760444,0.001054212,0.001918869,0.001316861,0.002761113,0.005920412,0.002543207,0.02008275,0.0515467],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002219783,"about_ca_system_score_gemma":0.002605208,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001337203,"about_ca_topic_score_gemma":0.002843383,"domain_scores_codex":[0.9910468,0.002499496,0.001418239,0.0009033635,0.003690118,0.0004418512],"domain_scores_gemma":[0.9507125,0.02573412,0.002789207,0.002209675,0.01402581,0.004528611],"domain_codex":null,"domain_gemma":"reproducibility","domain_candidate":"reproducibility","domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001589778,0.000005305047,0.00001386343,0.00009589316,0.000004765942,0.00004361119,0.00001236964,0.000008531408,0.00004706809,0.0002086732,0.9954923,0.004051634],"study_design_scores_gemma":[0.00001553127,0.000008011032,0.00008681066,0.0002252483,0.000006353623,0.00009670086,0.00002286872,0.00005660428,0.000054625,0.000567476,0.9988494,0.00001033463],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.00004535195,0.002064694,0.000782405,0.08983027,0.9036593,0.00004973878,0.000292809,0.0004262447,0.002849158],"genre_scores_gemma":[0.0006242414,0.003493533,0.0008887239,0.07980527,0.8887415,0.0001161394,0.0003874244,0.0004819997,0.02546118],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.9962586,"threshold_uncertainty_score":0.2130273,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02570108738111583,"score_gpt":0.3090138110345379,"score_spread":0.2833127236534221,"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."}}