{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002071998,0.0001574201,0.0004719841,0.0007809799,0.00009864252,0.00006306154,0.0002986705,0.00007163934,0.3713524],"category_scores_gemma":[0.001016681,0.0001765037,0.00002042202,0.0006402421,0.00004306489,0.000098804,0.000518054,0.0003414239,0.0002967933],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005299455,"about_ca_system_score_gemma":0.00112399,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.08101609,"about_ca_topic_score_gemma":0.3066008,"domain_scores_codex":[0.9985682,0.00003559794,0.0005431667,0.0004157737,0.0001268885,0.0003103447],"domain_scores_gemma":[0.9988148,0.000475805,0.0003505722,0.0001931483,0.00007517851,0.00009054713],"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":[0.000006863015,0.00003669399,0.00004290642,0.03373642,0.00001273806,0.00005319835,0.00006905016,0.000002123338,5.202133e-9,0.000003316472,0.9659942,0.00004252451],"study_design_scores_gemma":[0.0003754393,0.00004289434,0.009939699,0.03539304,0.0000016248,0.000001092179,0.0001200779,0.00027048,0.000001400442,0.00002906816,0.9536327,0.0001925239],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000002395194,0.00006638214,1.222361e-8,0.00000690296,0.00002058343,0.01447628,0.9848136,0.000002953183,0.0006109168],"genre_scores_gemma":[0.00006605683,0.000003261272,0.00003112031,0.000009644541,0.00004135301,0.1140073,0.8857873,0.00000974782,0.00004425352],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.3710556,"threshold_uncertainty_score":0.9251035,"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."}}