{"id":"W4214821037","doi":"10.1111/oik.08892","title":"Movement with meaning: integrating information into meta‐ecology","year":2022,"lang":"en","type":"article","venue":"Oikos","topic":"Plant and animal studies","field":"Agricultural and Biological Sciences","cited_by":28,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University; Memorial University of Newfoundland; University of British Columbia","funders":"Pacific Northwest National Laboratory; National Socio-Environmental Synthesis Center; Battelle; Mote Marine Laboratory and Aquarium; Biological and Environmental Research; University of Nebraska-Lincoln; Killam Trusts; U.S. Department of Energy; National Science Foundation","keywords":"Ecology; Ecosystem; Trophic level; Energy flow; Environmental resource management; Biology; Energy (signal processing); Environmental science","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0001158392,0.00006006864,0.00009667308,0.000005745972,0.0004287648,0.00002367155,0.00009182729,0.00001026519,0.0008657526],"category_scores_gemma":[0.00001119009,0.00001785645,0.00003243648,0.0001199507,0.00001377437,0.0001031924,0.0001071307,0.00007225358,0.00001558655],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002363798,"about_ca_system_score_gemma":0.000002687939,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003335558,"about_ca_topic_score_gemma":0.003401458,"domain_scores_codex":[0.9995797,0.00002624247,0.00008762295,0.00006935704,0.0001287674,0.0001082934],"domain_scores_gemma":[0.999855,0.0000447837,0.00005309491,0.000007971587,0.00002012153,0.00001900617],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004851619,0.00040468,0.1354928,0.00003890613,0.001772806,0.00004263387,0.01041957,0.0003012821,0.3908626,0.06353874,0.02776676,0.3688741],"study_design_scores_gemma":[0.0003509871,0.003463428,0.1918504,0.000008289659,0.0002685504,0.00002418044,0.02489092,0.0004550479,0.004259264,0.004338772,0.7695192,0.0005709566],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9840234,0.00005934548,0.000003113965,0.001692523,0.0000320604,0.0001012467,0.00001871117,0.00004558613,0.01402401],"genre_scores_gemma":[0.9985571,0.000005960283,0.0001243665,0.0009756264,0.00003169231,0.00007506764,0.00003090866,1.797618e-7,0.0001991096],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7417524,"threshold_uncertainty_score":0.9479384,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03269219717673068,"score_gpt":0.1989774641175432,"score_spread":0.1662852669408126,"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."}}