{"id":"W2091968160","doi":"10.1002/ece3.899","title":"A comparison of abundance estimates from extended batch‐marking and Jolly–Seber‐type experiments","year":2013,"lang":"en","type":"article","venue":"Ecology and Evolution","topic":"Census and Population Estimation","field":"Mathematics","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University; University of Victoria","funders":"Engineering and Physical Sciences Research Council","keywords":"Estimator; Statistics; Maximum likelihood; Sample size determination; Sample (material); Mean squared error; Abundance (ecology); Mathematics; Computer science; Chromatography; Biology; Chemistry","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":[0.00009040257,0.00007905866,0.0001937157,0.00004070042,0.0001096863,0.00001087516,0.00002892572,0.00009627545,0.0001924144],"category_scores_gemma":[0.0001740885,0.00007575985,0.00001304864,0.00004852007,0.00006859186,0.0001359755,0.00002839735,0.00005688605,0.00001321027],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002999683,"about_ca_system_score_gemma":0.00001051575,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002269828,"about_ca_topic_score_gemma":0.0001090637,"domain_scores_codex":[0.9994265,0.00003941522,0.0002370781,0.0001326197,0.00005717693,0.0001071994],"domain_scores_gemma":[0.9994105,0.0002571508,0.0001561987,0.00008619067,0.00006172722,0.0000281935],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003597379,0.0001203198,0.9744771,0.00004476203,0.00002575575,2.407693e-7,0.001357212,0.0000316187,0.01031657,0.01024572,0.002006455,0.001338261],"study_design_scores_gemma":[0.0002528645,0.00006644773,0.865231,0.00002468337,0.00002296601,0.00000208726,0.0001224422,0.038584,0.0008400374,0.09475079,0.00003403794,0.0000686913],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9967198,0.0005250681,0.002030734,0.0001168711,0.0001795813,0.0001696842,0.000002705231,0.00002750864,0.0002280457],"genre_scores_gemma":[0.9853618,0.00001282541,0.01449113,0.0000168216,0.00002874774,0.00001318634,0.000019028,0.000006170773,0.00005034821],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1092462,"threshold_uncertainty_score":0.3089397,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05207130767094047,"score_gpt":0.3582084870280379,"score_spread":0.3061371793570974,"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."}}