{"id":"W4246565634","doi":"10.3410/f.736836871.793568341","title":"Faculty Opinions recommendation of Cooperation and spatial self-organization determine rate and efficiency of particulate organic matter degradation in marine bacteria.","year":2019,"lang":"en","type":"dataset","venue":"Faculty Opinions – Post-Publication Peer Review of the Biomedical Literature","topic":"Food Industry and Aquatic Biology","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; National Science Foundation","keywords":"Particulates; Degradation (telecommunications); Environmental science; Organic matter; Marine bacteriophage; Particulate organic carbon; Environmental chemistry; Bacteria; Ecology; Computer science; Chemistry; Biology; Nutrient; Telecommunications","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":[],"consensus_categories":[],"category_scores_codex":[0.001862594,0.002509181,0.001562054,0.002940649,0.0008680083,0.00244869,0.002607758,0.002937081,0.01974294],"category_scores_gemma":[0.008440948,0.0006123605,0.002173713,0.003768604,0.0004065421,0.001500658,0.001976296,0.001661175,0.03549753],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001455324,"about_ca_system_score_gemma":0.002177912,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02803533,"about_ca_topic_score_gemma":0.06667843,"domain_scores_codex":[0.9984617,0.0002656778,0.000175412,0.0005802165,0.0003082846,0.0002086465],"domain_scores_gemma":[0.9968874,0.0009379928,0.000480887,0.0006752894,0.0007090399,0.0003093844],"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":[0.0003596313,0.0001011836,0.01731081,0.002912994,0.0002947129,0.000044284,0.00005684487,0.001146682,0.0007923275,0.0004786492,0.9679679,0.008533988],"study_design_scores_gemma":[0.001012026,0.0001330101,0.07908311,0.001289503,0.0005021115,0.0002267868,0.0002700212,0.00450645,0.002092732,0.00253512,0.9082239,0.0001252143],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0009432615,0.0002667766,0.00009027548,0.0001178658,0.00004656606,0.00001128636,0.9977162,0.0002560694,0.0005517654],"genre_scores_gemma":[0.001548736,0.00009419375,0.0003206011,0.0000649099,0.000009616616,0.00003706753,0.9973192,0.00003001871,0.0005755472],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.02803533,"threshold_uncertainty_score":0.06604671,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02405524377055615,"score_gpt":0.2795410145769714,"score_spread":0.2554857708064153,"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."}}