{"id":"W6925301708","doi":"10.17613/dggg1-42487","title":"Thangmi, Thami, Thani? Remembering a forgotten people","year":2004,"lang":"en","type":"article","venue":"Knowledge Commons (Lakehead University)","topic":"Toxic Organic Pollutants Impact","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Subject (documents); Narrative; Government (linguistics); Perspective (graphical)","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":[],"consensus_categories":[],"category_scores_codex":[0.002012134,0.0003085322,0.0005560847,0.001260741,0.005080459,0.006016309,0.0006040806,0.006001743,0.04326841],"category_scores_gemma":[0.01121684,0.0002994559,0.0003800943,0.001564217,0.003647378,0.01065099,0.002814326,0.005340355,0.006091416],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002697578,"about_ca_system_score_gemma":0.004165443,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03263344,"about_ca_topic_score_gemma":0.05443444,"domain_scores_codex":[0.9994174,0.000124402,0.0000510136,0.00008901353,0.0001934943,0.0001246942],"domain_scores_gemma":[0.9953927,0.001265763,0.0006037943,0.0002725907,0.001226625,0.00123859],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"qualitative","study_design_scores_codex":[0.00009355332,0.00004391552,0.003358299,0.0003086824,0.00001940472,0.0003555043,0.005586809,0.00002791568,0.0002558483,0.009695031,0.8679575,0.1122977],"study_design_scores_gemma":[0.00004842854,0.00004804649,0.01144526,0.0009105743,0.00005115317,0.0009746131,0.01802533,0.00004371067,0.0003379585,0.01547184,0.9525844,0.00005857954],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.01182522,0.1297549,0.0007535681,0.7592414,0.02921837,0.00002822117,0.0004962399,0.0001759957,0.06850595],"genre_scores_gemma":[0.2100472,0.2083745,0.002872931,0.2701179,0.03122061,0.0002024687,0.0007574696,0.0002540726,0.2761529],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.04326841,"threshold_uncertainty_score":0.1447473,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01770520293042419,"score_gpt":0.2205887952763321,"score_spread":0.2028835923459079,"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."}}