{"id":"W4394332287","doi":"10.6084/m9.figshare.10309136","title":"Additional file 4 of Bridging Indigenous and science-based knowledge in coastal and marine research, monitoring, and management in Canada","year":2019,"lang":"en","type":"dataset","venue":"Figshare","topic":"Indigenous Studies and Ecology","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Bridging (networking); Indigenous; Geography; Oceanography; Environmental resource management; Data science; Computer science; Environmental science; Ecology; Geology; Biology; Computer security","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001783818,0.001104387,0.001837054,0.01091804,0.001974422,0.003464475,0.002420715,0.001191483,0.4722828],"category_scores_gemma":[0.02854267,0.0007112507,0.001801369,0.02717054,0.0005465408,0.001592213,0.002020578,0.001317599,0.04081481],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01670929,"about_ca_system_score_gemma":0.03889026,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8867739,"about_ca_topic_score_gemma":0.9288955,"domain_scores_codex":[0.9981582,0.0001902521,0.0003651744,0.0003159947,0.0005622931,0.0004080491],"domain_scores_gemma":[0.9686844,0.01173816,0.002120542,0.001217452,0.01493866,0.001300887],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0000623335,0.00001161487,0.001758229,0.004283368,0.00005744003,0.00001982003,0.00007683747,0.0001646298,0.00001624181,0.0006555856,0.9900002,0.002893661],"study_design_scores_gemma":[0.0006993775,0.00002178942,0.03065121,0.006551317,0.000224287,0.0000554132,0.0004446801,0.0003074033,0.0001228778,0.001316593,0.9595369,0.00006808496],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003157573,0.00004317121,0.00001249513,0.00003749095,0.000005617728,0.00001861606,0.9993262,0.00001630781,0.0005085735],"genre_scores_gemma":[0.002275213,0.0004404018,0.0006024733,0.0001763184,0.00002227765,0.0005702333,0.9891737,0.0001086781,0.00663071],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.4722828,"threshold_uncertainty_score":0.7527245,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09811128628674652,"score_gpt":0.3887450912522565,"score_spread":0.2906338049655099,"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."}}