{"id":"W4245524236","doi":"10.5194/bgd-9-16303-2012","title":"Copepod community growth rates in relation to body size, temperature, and food availability in the East China Sea: a test of metabolic theory of ecology","year":2012,"lang":"en","type":"preprint","venue":"","topic":"Marine Bivalve and Aquaculture Studies","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Montréal","funders":"National Taiwan University; National Science Council","keywords":"Copepod; Zooplankton; Ecology; Biology; Growth rate; Ecosystem; China sea; Community structure; Environmental science; Oceanography; Crustacean; Mathematics","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":[0.0004918969,0.0002304966,0.0001767552,0.0003364739,0.0002050888,0.0002005315,0.0001954817,0.0001678804,0.0003982533],"category_scores_gemma":[0.0008405974,0.0001673619,0.0003344453,0.0002374401,0.0002879578,0.0003194042,0.0003017799,0.000256387,0.00004394289],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003498494,"about_ca_system_score_gemma":0.0002832405,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009887107,"about_ca_topic_score_gemma":0.01148467,"domain_scores_codex":[0.9998909,0.00002836148,0.00001076262,0.00003494003,0.0000170163,0.0000179968],"domain_scores_gemma":[0.9992285,0.0002266074,0.0002220723,0.00008990795,0.0001104231,0.0001225317],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001058937,0.00002482254,0.9906648,0.00001180941,0.00007857427,0.00004517979,0.00009938782,0.00109775,0.006464275,0.00004841961,0.00003299185,0.001326105],"study_design_scores_gemma":[0.000003073262,0.00002144613,0.9973725,6.843342e-7,0.000009644758,0.00001095467,0.00004322761,0.002265156,0.0002431216,0.00001585084,0.00001215892,0.000002137208],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9998749,0.00001047648,0.00006419675,0.000004910857,5.409843e-7,6.248641e-7,0.00001839245,6.634666e-7,0.00002513142],"genre_scores_gemma":[0.999856,0.000007932932,0.00005473619,0.000004706718,7.27414e-7,0.000002331046,0.00004525598,5.049112e-7,0.00002775107],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009887107,"threshold_uncertainty_score":0.0196591,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01520468026887992,"score_gpt":0.2478528858699413,"score_spread":0.2326482056010614,"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."}}