{"id":"W7025233892","doi":"","title":"What happens when you track everything about yourself?","year":2022,"lang":"en","type":"other","venue":"Bulletin of Miscellaneous Information (Royal Gardens Kew)","topic":"Water Quality Monitoring and Analysis","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Shadow (psychology); Track (disk drive); Bridge (graph theory); Civil rights; Racism","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00192844,0.0004530531,0.0003872643,0.0006701726,0.01267658,0.00738136,0.0008913684,0.003201856,0.07688862],"category_scores_gemma":[0.01317757,0.0002767683,0.0002790183,0.0008712669,0.00505098,0.006250985,0.003742454,0.005692106,0.04297471],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003035152,"about_ca_system_score_gemma":0.004600862,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.08625323,"about_ca_topic_score_gemma":0.1547282,"domain_scores_codex":[0.9975074,0.0008976666,0.00005624516,0.0002387129,0.0006087471,0.0006912691],"domain_scores_gemma":[0.9949674,0.0005226375,0.0003871481,0.0002618401,0.001244132,0.002616839],"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":[0.00001927348,0.00004485614,0.003973356,0.00006177598,0.000006416574,0.0004374918,0.0253072,0.00001452283,0.0001438457,0.004178368,0.9098861,0.05592693],"study_design_scores_gemma":[0.000005124583,0.00002265106,0.003679399,0.000293763,0.000006102732,0.000504321,0.0811498,0.00002742015,0.0001216699,0.001982313,0.9121748,0.00003267163],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.01825452,0.008419717,0.001471994,0.4758443,0.02039456,0.00007580235,0.0004960686,0.0004555078,0.4745876],"genre_scores_gemma":[0.1599484,0.00910436,0.001010881,0.1481986,0.002623946,0.0001051721,0.0004642893,0.0004773433,0.6780669],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.08625323,"threshold_uncertainty_score":0.2572181,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008451553579324943,"score_gpt":0.1944797187944997,"score_spread":0.1860281652151747,"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."}}