{"id":"W6977144325","doi":"10.6084/m9.figshare.7927562.v2","title":"Additional file 1 of Bridging Indigenous and science-based knowledge in coastal-marine research, monitoring, and management in Canada: a systematic map protocol","year":2020,"lang":"en","type":"dataset","venue":"Figshare","topic":"Belt and Road Initiative","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Bridging (networking); Protocol (science); File management; Indigenous; Data management","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":[0.003424819,0.001076313,0.001405413,0.007493844,0.002593297,0.00296926,0.002858069,0.001171424,0.3990962],"category_scores_gemma":[0.02726889,0.001028584,0.001313016,0.02190012,0.0007158813,0.001625066,0.002480235,0.001686055,0.04606003],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02215903,"about_ca_system_score_gemma":0.06751408,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9212053,"about_ca_topic_score_gemma":0.9515235,"domain_scores_codex":[0.9974579,0.0003154618,0.0004473161,0.0004046239,0.0007827474,0.0005919373],"domain_scores_gemma":[0.9728541,0.005914935,0.001412637,0.001566977,0.01670998,0.00154124],"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":[0.00003556016,0.00001441612,0.001250331,0.001138568,0.00002112439,0.000009466873,0.00006340953,0.0001751591,0.00001190011,0.0005904361,0.9944072,0.002282408],"study_design_scores_gemma":[0.0007789002,0.00002543648,0.03626275,0.003250065,0.0001165437,0.00004165613,0.0006891696,0.0004820732,0.0001564764,0.001918082,0.9561847,0.00009412131],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003502314,0.00001233043,0.00002911684,0.00003255856,0.000005949117,0.00006779365,0.9993479,0.00002080595,0.0004485279],"genre_scores_gemma":[0.001633629,0.0001425011,0.001337039,0.000130352,0.00001144292,0.001715313,0.9906297,0.00009104496,0.004308866],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.3990962,"threshold_uncertainty_score":0.8571164,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09329015284989678,"score_gpt":0.2917576055456738,"score_spread":0.198467452695777,"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."}}