{"id":"W2914236197","doi":"10.1021/acs.jproteome.8b00761","title":"Progress and Challenges in Ocean Metaproteomics and Proposed Best Practices for Data Sharing","year":2019,"lang":"en","type":"review","venue":"Journal of Proteome Research","topic":"Microbial Community Ecology and Physiology","field":"Environmental Science","cited_by":99,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University; Dalhousie University","funders":"Directorate for Geosciences; National Science Foundation","keywords":"Metaproteomics; Biogeochemical cycle; Ecosystem; Metagenomics; Environmental science; Computer science; Ecology; Biology","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","open_science"],"consensus_categories":[],"category_scores_codex":[0.03651701,0.001694901,0.003449966,0.007435365,0.0009987758,0.006551709,0.00554218,0.003048049,0.002931623],"category_scores_gemma":[0.03622257,0.0009623354,0.002638687,0.009783082,0.003304578,0.01331709,0.005938842,0.005490576,0.002302218],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002503346,"about_ca_system_score_gemma":0.01290763,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003241331,"about_ca_topic_score_gemma":0.002640094,"domain_scores_codex":[0.9893693,0.003295877,0.0019851,0.001792542,0.003024862,0.0005323142],"domain_scores_gemma":[0.9633954,0.02370687,0.002371289,0.002689188,0.006619936,0.001217298],"domain_codex":null,"domain_gemma":"reproducibility","domain_candidate":"reproducibility","domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00007921499,0.00005076436,0.0008511696,0.0409367,0.0003361236,0.0002059342,0.000481592,0.0008297429,0.001447259,0.03970616,0.02278766,0.8922876],"study_design_scores_gemma":[0.00002480423,0.00008429589,0.001515874,0.03401072,0.0003771023,0.0007369284,0.0007116823,0.0006252531,0.00119658,0.02957061,0.9310201,0.0001260898],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0005306873,0.9824247,0.007566056,0.006248149,0.0009244223,0.00007564198,0.0003146764,0.0001146008,0.0018011],"genre_scores_gemma":[0.002550374,0.9749613,0.01850865,0.001867708,0.000624927,0.0001614315,0.000868835,0.00005947428,0.0003972715],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9944578,"threshold_uncertainty_score":0.1931227,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.7820559530939805,"score_gpt":0.5456279779255869,"score_spread":0.2364279751683935,"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."}}