{"id":"W2106023521","doi":"10.1007/s10336-005-0074-9","title":"Point count summary statistics differentially predict reproductive activity in bird-habitat relationship studies","year":2005,"lang":"en","type":"article","venue":"Journal für Ornithologie","topic":"Ecology and Vegetation Dynamics Studies","field":"Environmental Science","cited_by":31,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of New Brunswick; Government of Newfoundland and Labrador","funders":"Cornell Lab of Ornithology","keywords":"Occupancy; Statistics; Abundance (ecology); Count data; Statistic; Population; Habitat; Ecology; Geography; Demography; Biology; Mathematics; Poisson distribution","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001319465,0.0001903294,0.0002981813,0.0001077665,0.0004519681,0.00003148361,0.0001885201,0.0001071883,0.000171088],"category_scores_gemma":[0.00235469,0.0001529427,0.00005617577,0.0002142907,0.0004886503,0.0004866878,0.000246704,0.0007399417,0.0002897135],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007682028,"about_ca_system_score_gemma":0.00003623678,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007741767,"about_ca_topic_score_gemma":0.002592782,"domain_scores_codex":[0.9982203,0.0003653351,0.0004215446,0.0003542252,0.0002836763,0.0003549572],"domain_scores_gemma":[0.9985428,0.0008281557,0.0002829844,0.0002120712,0.00006403223,0.0000698867],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009693419,0.0002032183,0.983929,0.000008881487,0.00005854819,0.0000902914,0.0009097198,0.004686959,0.0002319496,0.0001879229,0.006172564,0.003424059],"study_design_scores_gemma":[0.0004638805,0.0001670786,0.9840904,0.00002130155,0.00003755753,0.00008930417,0.0005131943,0.0004536984,0.00004970073,0.01366308,0.0002824705,0.0001683195],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9897234,0.000532435,0.003477205,0.004076363,0.0005442872,0.0002155268,0.00002114291,0.00007927824,0.001330387],"genre_scores_gemma":[0.9882326,0.001297719,0.009103149,0.0002022617,0.0001559208,0.0000225671,0.000002329926,0.0000191544,0.0009643036],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01347516,"threshold_uncertainty_score":0.6236823,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04151587436390439,"score_gpt":0.3238162824727533,"score_spread":0.2823004081088489,"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."}}