{"id":"W3157243870","doi":"10.21203/rs.3.rs-90221/v1","title":"Timing outweighs amount of rainfall in shaping population dynamics","year":2020,"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 British Columbia","funders":"Chinese Academy of Sciences; National Natural Science Foundation of China","keywords":"Dynamics (music); Population; Environmental science; Econometrics; Economics; Demography; Psychology; Sociology","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":[0.0004298312,0.0001736582,0.000227715,0.0002077487,0.0001767989,0.0004883719,0.0002021329,0.0001959768,0.001369398],"category_scores_gemma":[0.0006511689,0.0001338058,0.0001335856,0.0001507621,0.0003636038,0.0002225755,0.0003150837,0.000226938,0.00009186564],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000298328,"about_ca_system_score_gemma":0.0001267338,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001405699,"about_ca_topic_score_gemma":0.002805897,"domain_scores_codex":[0.9997953,0.00007264596,0.0000118256,0.00007370318,0.00001949674,0.00002711055],"domain_scores_gemma":[0.9992967,0.0002906296,0.0002364894,0.00006570217,0.00003620013,0.00007427316],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0009903706,0.0002555583,0.6296155,0.000158082,0.0002563118,0.0001688923,0.0004124135,0.001893675,0.3517654,0.0003483516,0.0001708635,0.01396458],"study_design_scores_gemma":[0.000006964237,0.0002469473,0.9950892,0.000004233052,0.00002621999,0.00003320073,0.0001064225,0.0009742359,0.003158343,0.0001199691,0.0002305387,0.000003722905],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9992844,0.00006712921,0.000314307,0.00001339509,0.000002706729,0.00000348446,0.00005302418,0.000006619075,0.0002547655],"genre_scores_gemma":[0.9996595,0.00001933599,0.0001986894,0.00001405066,0.000002478327,0.000003492872,0.00003236246,0.00000214253,0.00006796572],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001405699,"threshold_uncertainty_score":0.004581034,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2980722516969071,"score_gpt":0.3755145602070664,"score_spread":0.07744230851015932,"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."}}