{"id":"W2090833861","doi":"10.1890/13-1277.1","title":"To breed or not: a novel approach to estimate breeding propensity and potential trade‐offs in an Arctic‐nesting species","year":2014,"lang":"en","type":"article","venue":"Ecology","topic":"Avian ecology and behavior","field":"Environmental Science","cited_by":55,"is_retracted":false,"has_abstract":true,"ca_institutions":"Center for Northern Studies; Université Laval","funders":"Arctic Goose Joint Venture; Parks Canada","keywords":"Breed; Seasonal breeder; Propensity score matching; Reproduction; Reproductive success; Nesting (process); Biology; Trait; Demography; Statistics; Ecology; Mathematics; Population; Computer science; 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":[0.001994076,0.0004881665,0.0005857719,0.001542988,0.0005254401,0.0007570804,0.0007891847,0.0006649002,0.0007743676],"category_scores_gemma":[0.003867006,0.0003662205,0.0009435657,0.0009667533,0.0003369184,0.0006662174,0.001002811,0.0005980112,0.0001518971],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004945752,"about_ca_system_score_gemma":0.0006088919,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01379638,"about_ca_topic_score_gemma":0.03066608,"domain_scores_codex":[0.9991484,0.0002206977,0.00005743045,0.0004217668,0.00009987556,0.00005182247],"domain_scores_gemma":[0.9975969,0.0009492378,0.0007863163,0.0003090727,0.0001946472,0.0001637547],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001945741,0.0003337634,0.8914162,0.0001105759,0.0007196941,0.0001431246,0.0003581831,0.05012423,0.007632288,0.001071554,0.0004068721,0.04748884],"study_design_scores_gemma":[0.00002648658,0.0003068786,0.4711765,0.00002389014,0.00016161,0.0004839931,0.0002319293,0.5227632,0.001449328,0.00216937,0.001125607,0.00008122715],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8580911,0.0001937612,0.1397902,0.00007812231,0.00001538396,0.00007704835,0.001051,0.0002039668,0.000499485],"genre_scores_gemma":[0.9083099,0.00007915727,0.08960018,0.00004532572,0.00002778106,0.000117368,0.00128747,0.00002763618,0.0005051704],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01379638,"threshold_uncertainty_score":0.02743214,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04360705044423867,"score_gpt":0.2603662118613521,"score_spread":0.2167591614171134,"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."}}