{"id":"W2000864808","doi":"10.1371/journal.pone.0101765","title":"Food Provisioning and Parental Status in Songbirds: Can Occupancy Models Be Used to Estimate Nesting Performance?","year":2014,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Avian ecology and behavior","field":"Environmental Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Provisioning; Nest (protein structural motif); Occupancy; Nesting (process); Nesting season; Offspring; Seasonal breeder; Biology; Ecology; Range (aeronautics); Geography; Demography; Statistics; Predation; Computer science; Mathematics; Engineering; Pregnancy; Telecommunications","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.00799966,0.0006227202,0.0008078753,0.0007984841,0.0003648274,0.001205083,0.001314947,0.0007406232,0.0008100569],"category_scores_gemma":[0.01834046,0.0006656202,0.0007560988,0.0007556925,0.0007191841,0.001853503,0.0007631443,0.0006009603,0.0002749187],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006856063,"about_ca_system_score_gemma":0.0005133437,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04695997,"about_ca_topic_score_gemma":0.07585499,"domain_scores_codex":[0.9987374,0.0008488971,0.00005061074,0.0001919477,0.00006998269,0.0001011976],"domain_scores_gemma":[0.9908557,0.006504665,0.001279311,0.0006714027,0.0003257776,0.0003630908],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002064838,0.0001171969,0.8871923,0.00007587688,0.0004946109,0.00006851408,0.0004103646,0.07235031,0.000381588,0.001533684,0.000695234,0.03647385],"study_design_scores_gemma":[0.00002089594,0.0001170236,0.2084591,0.00005113503,0.00009018672,0.00009056689,0.0002848868,0.7866077,0.0001166058,0.003635612,0.0004840686,0.00004221794],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9482327,0.001067625,0.04843865,0.00074539,0.00003185755,0.00002946263,0.0003494126,0.000132247,0.0009726248],"genre_scores_gemma":[0.9915162,0.0002385941,0.007615566,0.00006507434,0.00002950516,0.00002021076,0.0002128693,0.00002454699,0.0002773199],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04695997,"threshold_uncertainty_score":0.09337324,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05227872672158329,"score_gpt":0.2542207193436717,"score_spread":0.2019419926220885,"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."}}