{"id":"W2145997729","doi":"10.5194/gmd-8-2231-2015","title":"EMPOWER-1.0: an Efficient Model of Planktonic ecOsystems WrittEn in R","year":2015,"lang":"en","type":"article","venue":"Geoscientific model development","topic":"Marine and coastal ecosystems","field":"Earth and Planetary Sciences","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"Natural Environment Research Council; Sight Research UK","keywords":"Testbed; Plankton; Computer science; Ecosystem model; Ecosystem; Set (abstract data type); Simple (philosophy); Marine ecosystem; Modular design; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001844989,0.0002252449,0.0003468921,0.0003530183,0.0001069986,0.0000857855,0.0004945726,0.00009351322,0.0001495779],"category_scores_gemma":[0.00002176957,0.000196476,0.00004775592,0.0004232011,0.00005287051,0.0002010286,0.00007252571,0.0001295589,0.0001715027],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004248421,"about_ca_system_score_gemma":0.0009330121,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002836347,"about_ca_topic_score_gemma":0.0296176,"domain_scores_codex":[0.9972007,0.00007404419,0.0007588043,0.0006026187,0.0008074552,0.0005563815],"domain_scores_gemma":[0.9988664,0.00001887045,0.0001696627,0.0004445677,0.0001326371,0.0003678237],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00004057373,0.0001037029,0.01893599,0.00005293282,0.000007092708,0.000006019351,0.002257279,0.9709962,0.00004993613,0.0001165179,0.0005837563,0.006849977],"study_design_scores_gemma":[0.0004474085,0.00003697401,0.002546272,0.00004170091,0.000003782786,0.000006049314,0.000417926,0.9941308,0.000148986,0.0002562499,0.001700155,0.0002636782],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9732224,0.0001077902,0.01084576,0.00002594669,0.0007020487,0.0003674336,0.0001797585,0.00004725417,0.01450157],"genre_scores_gemma":[0.9913931,0.000002852745,0.005388901,0.00003303268,0.0000184901,0.00000936064,0.0003853434,0.000006995595,0.002761861],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02678126,"threshold_uncertainty_score":0.9880893,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04210748359538903,"score_gpt":0.2199423998183125,"score_spread":0.1778349162229235,"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."}}