{"id":"W2159907547","doi":"10.1002/env.998","title":"Extracting long‐term patterns of population changes from sporadic counts of migrant birds","year":2009,"lang":"en","type":"article","venue":"Environmetrics","topic":"Avian ecology and behavior","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Geography; Warbler; Population; Term (time); Generalized additive model; Nova scotia; Demography; Physical geography; Ecology; Statistics; Biology; Archaeology; Mathematics","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00009207203,0.00006697754,0.0001151371,0.00006672093,0.00002549793,0.000001928655,0.0001002969,0.00008296414,0.002860702],"category_scores_gemma":[0.00002225349,0.0000643795,0.00002995018,0.0001624408,0.00004193949,0.00006190465,0.00002418771,0.00007278841,0.0001206937],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004668415,"about_ca_system_score_gemma":0.000001074965,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001398732,"about_ca_topic_score_gemma":0.00006298147,"domain_scores_codex":[0.9994358,0.00001731652,0.000143424,0.0001301488,0.0001691269,0.0001041259],"domain_scores_gemma":[0.9996309,0.0000413082,0.0001507071,0.0001454358,0.000001143353,0.00003052359],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000003296623,0.00008786598,0.9334636,0.000001813997,0.000001815708,0.000004737675,0.00006841636,0.00001824449,0.003271305,8.552936e-7,0.00002430953,0.0630537],"study_design_scores_gemma":[0.00009624198,0.00005998692,0.9970341,0.000006510329,0.00002136036,0.000001345505,0.000009218514,0.00001192215,0.0024317,0.00002759098,0.0002359791,0.00006408791],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9991711,0.00009304279,0.0003267846,0.00003218905,0.00008062112,0.00006346001,0.00002797959,0.000008322815,0.0001965095],"genre_scores_gemma":[0.9992624,0.00005844669,0.0003590907,0.00004442271,0.00002345132,8.049735e-7,0.00003270739,0.000005740444,0.0002129452],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06357042,"threshold_uncertainty_score":0.9980508,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01741140725851812,"score_gpt":0.2411736105334967,"score_spread":0.2237622032749786,"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."}}