{"id":"W4399708961","doi":"10.1002/2688-8319.12351","title":"Approaches and methods used to bring together Indigenous and Environmental science Knowledge in environmental research: A systematic map protocol","year":2024,"lang":"en","type":"article","venue":"Ecological Solutions and Evidence","topic":"Indigenous Studies and Ecology","field":"Health Professions","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Oceans Limited (Canada); Trent University","funders":"","keywords":"Indigenous; Data science; Biomedicine; Identification (biology); Merge (version control); Traditional knowledge; Systematic review; Computer science; Resource (disambiguation); Knowledge management; MEDLINE; Information retrieval; Ecology; Political science; Bioinformatics","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":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.008934509,0.0001530693,0.0003389794,0.0002439451,0.003973064,0.00006555518,0.0001605471,0.0001644526,0.0001106802],"category_scores_gemma":[0.0004341092,0.0001114112,0.00002237949,0.0003013435,0.0008357536,0.0002050284,0.001378253,0.0005838466,0.0001494753],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000793022,"about_ca_system_score_gemma":0.0001703893,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002005181,"about_ca_topic_score_gemma":0.001705953,"domain_scores_codex":[0.9964342,0.001197337,0.000414604,0.0006042055,0.0001773879,0.001172227],"domain_scores_gemma":[0.9974029,0.002164994,0.00004496345,0.000163144,0.00001118864,0.000212819],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.0001768049,0.001418645,0.2971468,0.04473979,0.000121117,0.0001688462,0.630882,0.00005466757,0.009937701,0.004936887,0.0002791896,0.01013754],"study_design_scores_gemma":[0.000861012,0.002198636,0.7742905,0.00917079,0.00006545166,0.00009997751,0.1960341,0.008821889,0.00004571252,0.002359116,0.005308346,0.0007444726],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9493107,0.006762077,0.0002587378,0.0008092054,0.0001284733,0.04241136,0.000006505031,0.00003691007,0.0002760037],"genre_scores_gemma":[0.9613416,0.0001755419,0.001422742,0.00006735721,0.00005278568,0.03650966,4.869246e-7,0.00001046639,0.0004193856],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4771437,"threshold_uncertainty_score":0.9973236,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3850804993497272,"score_gpt":0.5043150796056071,"score_spread":0.1192345802558799,"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."}}