{"id":"W7017848539","doi":"","title":"Canada votes to collect data to document 'environmental racism'","year":2021,"lang":"en","type":"article","venue":"eYLS (Yale Law School)","topic":"Science, Research, and Medicine","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Data collection; Government (linguistics); Work (physics); Identification (biology); Measure (data warehouse)","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000509752,0.000174896,0.0003283338,0.00007441295,0.0002014658,0.00005849077,0.0004843152,0.00004736547,0.00271721],"category_scores_gemma":[0.0007342,0.0001482997,0.00003591716,0.0005613707,0.0000822934,0.0001392435,0.0005782129,0.0002649762,0.0003807281],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005508259,"about_ca_system_score_gemma":0.002063223,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.2758014,"about_ca_topic_score_gemma":0.5587383,"domain_scores_codex":[0.9970672,0.00006153313,0.0002754371,0.0006925199,0.001291214,0.0006120551],"domain_scores_gemma":[0.9969196,0.0001055675,0.00002841921,0.001306174,0.00005929922,0.00158093],"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":[0.0002732014,0.0002437303,0.01605612,0.00007218655,0.0001106042,0.002185191,0.0002840949,0.00002632049,0.06314907,0.0005200719,0.9061065,0.01097293],"study_design_scores_gemma":[0.001339269,0.000291927,0.03510854,0.0001307057,0.00004507902,0.0001208555,0.0008281344,0.00003696703,0.0233591,0.00002710768,0.9385049,0.0002074439],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9383002,0.001383121,0.0001148252,0.04086363,0.0009653401,0.001164436,0.0003887952,0.00005358098,0.01676608],"genre_scores_gemma":[0.9258628,0.00009162098,0.002132308,0.03309447,0.0005454791,0.00004264622,0.0002636141,0.00002575529,0.0379413],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2829369,"threshold_uncertainty_score":0.9981945,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02925451873252348,"score_gpt":0.3027372862619351,"score_spread":0.2734827675294116,"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."}}