{"id":"W2953900668","doi":"10.1002/env.2498","title":"Partial stratification in two‐sample capture–recapture experiments","year":2018,"lang":"en","type":"article","venue":"Environmetrics","topic":"Census and Population Estimation","field":"Mathematics","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"Natural Sciences and Engineering Research Council of Canada; Minnesota Department of Natural Resources","keywords":"Statistics; Mark and recapture; Covariate; Sampling (signal processing); Econometrics; Sample size determination; Population; Fish <Actinopterygii>; Sample (material); Mathematics; Computer science; Biology; Fishery; Demography; Filter (signal processing)","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":[0.04966452,0.001303187,0.002878156,0.0009922524,0.001214254,0.001399626,0.002798967,0.002174852,0.002842935],"category_scores_gemma":[0.07377832,0.002064834,0.002192305,0.001127022,0.002348639,0.002356704,0.002128146,0.002305812,0.0005467091],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001362225,"about_ca_system_score_gemma":0.001138923,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002782144,"about_ca_topic_score_gemma":0.003880379,"domain_scores_codex":[0.9718303,0.02017522,0.001249976,0.004580697,0.001464434,0.0006993604],"domain_scores_gemma":[0.940968,0.03712822,0.006117887,0.01361829,0.00141495,0.0007527028],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.007950241,0.001876565,0.1224422,0.002577465,0.004195548,0.001218601,0.002583168,0.1888376,0.1201401,0.3157111,0.005582283,0.2268851],"study_design_scores_gemma":[0.001160235,0.003658199,0.0731749,0.000234553,0.001128973,0.0004829018,0.0001323623,0.6534519,0.02509538,0.2311378,0.009848839,0.0004939171],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1219045,0.0004212874,0.8729433,0.0002133537,0.0001236922,0.001324224,0.001228988,0.000519618,0.001321072],"genre_scores_gemma":[0.3325029,0.000411837,0.65525,0.0006583654,0.00008923235,0.006100327,0.002046879,0.000183731,0.002756895],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.04966452,"threshold_uncertainty_score":0.2626542,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07460433109161382,"score_gpt":0.354532178000344,"score_spread":0.2799278469087302,"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."}}