{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009279031,0.001253866,0.001649258,0.005153347,0.001912476,0.01120023,0.00295344,0.003376932,0.004015201],"category_scores_gemma":[0.01885329,0.000922351,0.002156313,0.003272654,0.02160312,0.0255053,0.007476666,0.004985802,0.0005767616],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003727721,"about_ca_system_score_gemma":0.002496529,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002658424,"about_ca_topic_score_gemma":0.002190193,"domain_scores_codex":[0.9954412,0.002772152,0.0003204173,0.0007060083,0.000560068,0.0002001286],"domain_scores_gemma":[0.9825796,0.01174781,0.000967769,0.003105476,0.0009968301,0.0006026133],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00001134455,0.00001022985,0.0004065368,0.000159884,0.00005226658,0.00008608235,0.00168588,0.003763151,0.0002387191,0.97794,0.0006793811,0.01496654],"study_design_scores_gemma":[0.000004208866,0.000007880065,0.0001768308,0.00009746142,0.00002041319,0.00004245395,0.000232066,0.006774096,0.0001049057,0.9822088,0.01031514,0.00001579372],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01473804,0.02056326,0.8907051,0.0248731,0.0007335821,0.0001200526,0.0002690394,0.0005824422,0.04741532],"genre_scores_gemma":[0.4826637,0.01073158,0.4968716,0.003249004,0.001238262,0.0004731271,0.000385643,0.0003568302,0.004030219],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01120023,"threshold_uncertainty_score":0.0490728,"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."}}