{"id":"W4386476203","doi":"10.21203/rs.3.rs-3308094/v1","title":"Weak evidence of density dependent population regulation using predictive ability of models","year":2023,"lang":"en","type":"preprint","venue":"Research Square","topic":"Plant and animal studies","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of New Brunswick","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Density dependence; Population density; Population; Econometrics; Set (abstract data type); Statistics; Statistical physics; Mathematics; Computer science; Physics; Demography","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":[0.01575508,0.001544366,0.001464197,0.001942109,0.0007193468,0.003645142,0.002518612,0.001540175,0.001998633],"category_scores_gemma":[0.06976507,0.0007334889,0.001445314,0.001298355,0.002795431,0.004811289,0.002162656,0.002859106,0.0004388311],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001269874,"about_ca_system_score_gemma":0.001070571,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009326652,"about_ca_topic_score_gemma":0.006196712,"domain_scores_codex":[0.9944314,0.003097161,0.0002726607,0.001166202,0.0007665785,0.0002658496],"domain_scores_gemma":[0.8990132,0.0866393,0.004140931,0.006895362,0.002547642,0.0007635367],"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":[0.0005442741,0.0001780175,0.1173817,0.0003176655,0.001186414,0.0001416405,0.0002547723,0.8438413,0.002776142,0.006237185,0.001936153,0.02520466],"study_design_scores_gemma":[0.00001743254,0.00005267077,0.01023842,0.00003943346,0.00006557084,0.00003341231,0.00004410345,0.9777206,0.001053779,0.01043946,0.0002730139,0.00002209004],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8764042,0.001319254,0.1106492,0.002451137,0.00008268115,0.00007655666,0.001469311,0.001264527,0.006283291],"genre_scores_gemma":[0.9942551,0.0001075016,0.004550117,0.0001459936,0.00002854832,0.00002159232,0.0006607252,0.000042367,0.0001881263],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01575508,"threshold_uncertainty_score":0.08332187,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4106990183260716,"score_gpt":0.3993714825834926,"score_spread":0.011327535742579,"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."}}