{"id":"W4237409674","doi":"10.3410/f.1103492.559548","title":"Faculty Opinions recommendation of Inter-specific scaling of phytoplankton production and cell size in the field.","year":2008,"lang":"en","type":"dataset","venue":"Faculty Opinions – Post-Publication Peer Review of the Biomedical Literature","topic":"Water Quality Monitoring and Analysis","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Fisheries and Oceans Canada; Bedford Institute of Oceanography","funders":"","keywords":"Scaling; Field (mathematics); Production (economics); Phytoplankton; Environmental science; Computer science; Mathematics; Biology; Ecology; Economics; Nutrient","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001410512,0.000257915,0.00052728,0.0001277699,0.0001354949,0.00004538702,0.0008780648,0.000282514,0.0001684541],"category_scores_gemma":[0.002610745,0.000148672,0.0002570784,0.00133815,0.0003199247,0.0002083221,0.0002950204,0.0006084045,0.0000106889],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006199071,"about_ca_system_score_gemma":0.00003917844,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000211388,"about_ca_topic_score_gemma":0.000006141868,"domain_scores_codex":[0.9969518,0.0005022725,0.001069237,0.0004529149,0.000840429,0.0001833643],"domain_scores_gemma":[0.9975216,0.0002385523,0.0008916648,0.0008528144,0.0004189099,0.00007640595],"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":[0.000006881465,0.000252686,0.00008885817,0.001733398,0.00001997791,1.188592e-7,0.0004841301,6.150404e-7,0.00002309291,0.00000420394,0.9958631,0.001522921],"study_design_scores_gemma":[0.0001729115,0.00006084378,0.002935559,0.003426719,0.00005461917,0.00001147628,0.00009124159,0.000002917088,0.0003795082,0.00001243809,0.9927073,0.0001444763],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00006590004,0.0004363764,0.00001285063,0.1105487,0.0003986543,0.0005172336,0.8879776,0.000007856458,0.00003480543],"genre_scores_gemma":[0.0006809407,0.0009593748,0.0002982408,0.0006641701,0.0001581578,0.0000531108,0.9969052,0.000007882555,0.0002729381],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1098846,"threshold_uncertainty_score":0.6062668,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02889411796362607,"score_gpt":0.3240704798065486,"score_spread":0.2951763618429226,"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."}}