{"id":"W4236661752","doi":"10.3389/fmars.2020.556234","title":"Perspectives on Documenting Methods to Create Ocean Best Practices","year":2021,"lang":"en","type":"article","venue":"Frontiers in Marine Science","topic":"Research Data Management Practices","field":"Computer Science","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"","keywords":"Discoverability; Best practice; Documentation; Work (physics); Perspective (graphical); Ocean observations; Data science; Environmental resource management; Engineering ethics; Environmental planning; Knowledge management; Computer science; Engineering; Political science; Geography; Environmental science; World Wide Web; Meteorology","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":["metaresearch"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.214145,0.002204243,0.002230839,0.0133174,0.01229441,0.04845092,0.008275467,0.01786566,0.006210323],"category_scores_gemma":[0.1774417,0.001974369,0.003049392,0.01305406,0.07223183,0.05843288,0.02725783,0.02317509,0.002664197],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02152807,"about_ca_system_score_gemma":0.06215403,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02618206,"about_ca_topic_score_gemma":0.01663655,"domain_scores_codex":[0.7748854,0.1516623,0.0177858,0.009098067,0.04069478,0.005873736],"domain_scores_gemma":[0.644391,0.2230101,0.01069131,0.05762973,0.055039,0.009238915],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.00001741789,0.00003885999,0.0003316575,0.0004634866,0.00002017213,0.00008584367,0.01341918,0.0007241191,0.0002289782,0.9455016,0.0100569,0.0291118],"study_design_scores_gemma":[0.00002319686,0.00003529336,0.0001808077,0.002292251,0.00002075407,0.0001310376,0.01072682,0.0008836131,0.0006465323,0.5559133,0.4290764,0.00006998582],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.003634294,0.01886726,0.4406623,0.4047524,0.003997456,0.0002635143,0.0002941074,0.0008316184,0.1266971],"genre_scores_gemma":[0.1175115,0.02933491,0.7737241,0.04492364,0.002487071,0.0015461,0.000809795,0.002103392,0.02755943],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.785855,"threshold_uncertainty_score":0.9690991,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0787919418141976,"score_gpt":0.4390106832851267,"score_spread":0.360218741470929,"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."}}