{"id":"W1986125236","doi":"10.1016/j.ecolmodel.2010.10.013","title":"Modeling fecundity in birds: Conceptual overview, current models, and considerations for future developments","year":2010,"lang":"en","type":"article","venue":"Ecological Modelling","topic":"Avian ecology and behavior","field":"Environmental Science","cited_by":67,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université Laval","funders":"Division of Mathematical Sciences; University of Georgia; U.S. Environmental Protection Agency","keywords":"Fecundity; Population; Ecology; Conceptual framework; Econometrics; Computer science; Biology; Mathematics; Demography; Epistemology; 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":[0.004234693,0.001230181,0.002184149,0.0006157547,0.0005646882,0.002944782,0.004822945,0.00178961,0.002610123],"category_scores_gemma":[0.006044467,0.0007285408,0.001843756,0.00121492,0.001490923,0.004241774,0.001265092,0.001974885,0.0005305126],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00124843,"about_ca_system_score_gemma":0.001728243,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01423724,"about_ca_topic_score_gemma":0.01732744,"domain_scores_codex":[0.9994913,0.0002597754,0.00003924103,0.00008103518,0.00008201674,0.00004668038],"domain_scores_gemma":[0.9979286,0.001482492,0.0001543242,0.0001049577,0.0002015013,0.0001281259],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00008118679,0.0001239961,0.006611222,0.000795312,0.0002086194,0.0001067058,0.0001973984,0.8175718,0.001019748,0.1088585,0.002443592,0.06198189],"study_design_scores_gemma":[0.00002165619,0.00009055233,0.001813384,0.0002478347,0.0001137626,0.0001151364,0.0001450637,0.879267,0.0002278462,0.1075343,0.01036323,0.00006020454],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"review","genre_scores_codex":[0.04819132,0.08328448,0.849357,0.007736495,0.0004144259,0.00007566802,0.0003227426,0.0003018618,0.01031597],"genre_scores_gemma":[0.578413,0.1432782,0.2647213,0.001002865,0.002017684,0.0004945835,0.000647719,0.0003491797,0.009075402],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.01423724,"threshold_uncertainty_score":0.02830875,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1070081097339656,"score_gpt":0.2983581136043355,"score_spread":0.1913500038703699,"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."}}