{"id":"W2735708977","doi":"10.1073/pnas.1709063114","title":"Regular patterns link individual behavior to population persistence","year":2017,"lang":"en","type":"letter","venue":"Proceedings of the National Academy of Sciences","topic":"Ecosystem dynamics and resilience","field":"Environmental Science","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada; Government of Canada","keywords":"Persistence (discontinuity); Link (geometry); Population; Biology; Evolutionary biology; Genetics; Computer science; Medicine; Environmental health; Engineering","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":[0.004444595,0.0003873773,0.000495655,0.0006651027,0.001511183,0.002290757,0.001204355,0.01366099,0.008199795],"category_scores_gemma":[0.03479574,0.0003898353,0.0004798346,0.0005196324,0.007779524,0.002871314,0.002384255,0.01531374,0.004954263],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001830267,"about_ca_system_score_gemma":0.0007580897,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002234345,"about_ca_topic_score_gemma":0.002678976,"domain_scores_codex":[0.998656,0.0004051173,0.0001040647,0.0003884272,0.0002987173,0.0001476565],"domain_scores_gemma":[0.9770072,0.01508405,0.002257464,0.002831371,0.00182626,0.0009937091],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0004197697,0.0001213025,0.01902974,0.0002328916,0.0002003804,0.003083347,0.001214499,0.001131775,0.002191538,0.1239169,0.6739774,0.1744806],"study_design_scores_gemma":[0.0003183414,0.0001861031,0.02028796,0.0004151237,0.00009248354,0.002708417,0.0008738894,0.003831891,0.002458563,0.5376471,0.4310165,0.0001637053],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.007854527,0.002974946,0.003612881,0.9666101,0.006683645,0.00001862183,0.0002048617,0.0001114528,0.01192898],"genre_scores_gemma":[0.2739246,0.009015327,0.002786991,0.6567999,0.0391305,0.0001231993,0.0003089648,0.0001423718,0.01776814],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01366099,"threshold_uncertainty_score":0.02743101,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04389169950970107,"score_gpt":0.2839282061120196,"score_spread":0.2400365066023185,"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."}}