{"id":"W4386501168","doi":"","title":"Working with indigenous, local and scientific knowledge in assessments of nature and nature's linkages with people","year":2019,"lang":"en","type":"preprint","venue":"Conicet","topic":"Indigenous Knowledge Systems and Agriculture","field":"Agricultural and Biological Sciences","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"National Research, Development and Innovation Office; Vetenskapsrådet; Commonwealth Scientific and Industrial Research Organisation","keywords":"Indigenous; Traditional knowledge; Sociology of scientific knowledge; Sociology; Geography; Psychology; Social science; Biology; Ecology","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":["sts"],"consensus_categories":[],"category_scores_codex":[0.02911211,0.0003344338,0.000560462,0.003049558,0.009372482,0.01372351,0.001253924,0.003209685,0.01045845],"category_scores_gemma":[0.03505005,0.000337112,0.0004737994,0.004271125,0.01943584,0.01548477,0.01449697,0.003277115,0.002155489],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006017903,"about_ca_system_score_gemma":0.01454046,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01187694,"about_ca_topic_score_gemma":0.01705592,"domain_scores_codex":[0.9799885,0.01231165,0.0008347228,0.001530783,0.004179806,0.001154588],"domain_scores_gemma":[0.9681476,0.02019982,0.001966228,0.00475636,0.003388766,0.001541172],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.00004604071,0.0001702216,0.01019017,0.0009383285,0.00006123586,0.001132978,0.3485617,0.000810101,0.002154563,0.4045051,0.01205235,0.2193772],"study_design_scores_gemma":[0.00001583321,0.00006325405,0.01168875,0.002922138,0.00005197299,0.0007832338,0.189103,0.0009091709,0.002565852,0.4765183,0.3152897,0.00008879012],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1138495,0.004517765,0.06336444,0.05034031,0.0007307004,0.0003885657,0.0003123199,0.0002200633,0.7662764],"genre_scores_gemma":[0.9155456,0.0033373,0.04206726,0.00306912,0.0002997961,0.0003219218,0.0002901058,0.0001396635,0.03492907],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9906275,"threshold_uncertainty_score":0.1539614,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01095789088601705,"score_gpt":0.2395618498648729,"score_spread":0.2286039589788559,"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."}}