{"id":"W3036495308","doi":"10.1139/as-2019-0013","title":"Conceptualizing indicators as boundary objects in integrating Inuit knowledge and western science for marine resource management","year":2020,"lang":"en","type":"article","venue":"Arctic Science","topic":"Indigenous Studies and Ecology","field":"Health Professions","cited_by":34,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"","keywords":"Scope (computer science); Knowledge management; Resource management (computing); Resource (disambiguation); Environmental resource management; Natural resource management; Ecosystem-based management; Corporate governance; Business; Maritime boundary; Natural resource; Computer science; Political science; Ecology; Ecosystem","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"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":[0.01265989,0.0006574471,0.0005239529,0.01323285,0.007499861,0.02151475,0.001740961,0.002422983,0.002785382],"category_scores_gemma":[0.02129827,0.0005606982,0.0005086746,0.01039959,0.03261233,0.02760535,0.01196781,0.003039187,0.0003182798],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01943266,"about_ca_system_score_gemma":0.01596493,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05744405,"about_ca_topic_score_gemma":0.08433633,"domain_scores_codex":[0.9924399,0.004234228,0.0006237919,0.0006618618,0.001402828,0.0006374585],"domain_scores_gemma":[0.983412,0.008353908,0.00279809,0.001167402,0.002716972,0.001551631],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00003053318,0.00002245952,0.01194531,0.0002532534,0.00002026527,0.0003119533,0.07728777,0.0004826347,0.0005156763,0.8855729,0.0009082778,0.02264892],"study_design_scores_gemma":[0.00002089417,0.00008780096,0.02729849,0.002385179,0.000184661,0.0005409284,0.1464799,0.006488018,0.001718656,0.6091868,0.2054478,0.0001609001],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2617703,0.006870744,0.1814881,0.04094158,0.0005276746,0.0006675033,0.000502382,0.0003810422,0.5068506],"genre_scores_gemma":[0.9452365,0.00142123,0.04896646,0.0005602901,0.0000423006,0.0002897815,0.0001853201,0.0000714453,0.003226686],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9925001,"threshold_uncertainty_score":0.1409944,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04313343077989037,"score_gpt":0.393374976422094,"score_spread":0.3502415456422037,"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."}}