{"id":"W2911661524","doi":"10.3390/w11020209","title":"Anishinabek Women’s Nibi Giikendaaswin (Water Knowledge)","year":2019,"lang":"en","type":"article","venue":"Water","topic":"Indigenous Health, Education, and Rights","field":"Social Sciences","cited_by":40,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Construct (python library); Ontology; Sociology; Knowledge management; Computer science; Epistemology; Philosophy","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":[0.001196691,0.0002459855,0.0002931679,0.0006306992,0.009452144,0.003087855,0.0003948782,0.0009233927,0.00695122],"category_scores_gemma":[0.002039983,0.0002373043,0.0001469505,0.0009891612,0.008147077,0.003595351,0.004643126,0.001761565,0.0005980674],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002991064,"about_ca_system_score_gemma":0.003517938,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01594721,"about_ca_topic_score_gemma":0.03531518,"domain_scores_codex":[0.9992245,0.0002496369,0.00003477783,0.0001039201,0.0001647713,0.000222372],"domain_scores_gemma":[0.9995329,0.000179861,0.00006669611,0.00004718532,0.0000784674,0.0000947716],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00003926766,0.00002376291,0.003751606,0.0002434517,0.000006690743,0.001354509,0.7973531,0.00004596471,0.002849896,0.1400182,0.008765752,0.04554776],"study_design_scores_gemma":[0.000002952122,0.00002827261,0.005923946,0.0003243567,0.00001006058,0.0009885746,0.4598409,0.00006493264,0.0008808877,0.01594976,0.5159523,0.00003304495],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5679153,0.008331246,0.004399991,0.03746017,0.0007078449,0.0001136232,0.0001383067,0.00008647227,0.3808471],"genre_scores_gemma":[0.958111,0.001917912,0.001457514,0.001356493,0.00003360163,0.00004491303,0.0000292238,0.00003814047,0.03701109],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9840528,"threshold_uncertainty_score":0.03170872,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009608977072376353,"score_gpt":0.2762056828039777,"score_spread":0.2665967057316013,"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."}}