{"id":"W2073390639","doi":"10.1139/z02-027","title":"Estimating low-density snowshoe hare populations using fecal pellet counts","year":2002,"lang":"en","type":"article","venue":"Canadian Journal of Zoology","topic":"Wildlife Ecology and Conservation","field":"Environmental Science","cited_by":100,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"U.S. Forest Service; Idaho Department of Fish and Game","keywords":"Pellet; Transect; Biology; Animal science; Snowshoe hare; Range (aeronautics); Population density; Statistics; Mathematics; Atmospheric sciences; Ecology; Population; Demography; Physics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009938064,0.0003202571,0.0003134245,0.0008675886,0.0002384908,0.0005851731,0.0003254001,0.0001978163,0.0008942041],"category_scores_gemma":[0.002005098,0.000252148,0.0002275253,0.0004499652,0.0002764859,0.0004160281,0.0004809856,0.0001700745,0.0002008701],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002202904,"about_ca_system_score_gemma":0.0001888578,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009222946,"about_ca_topic_score_gemma":0.03567465,"domain_scores_codex":[0.9996015,0.0001509985,0.00002959737,0.0001216992,0.0000568311,0.00003941669],"domain_scores_gemma":[0.9990613,0.0002988482,0.0003293368,0.0001166004,0.0001322399,0.00006182298],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000941561,0.0000272572,0.9819141,0.00002215768,0.00006260304,0.00002678085,0.0002035196,0.001324724,0.005902028,0.00005309232,0.00008912241,0.01028051],"study_design_scores_gemma":[0.000007123524,0.00009514505,0.9868937,0.00001922653,0.00003326044,0.00006359345,0.0004289446,0.0103632,0.00158517,0.0001417604,0.0003581062,0.00001083848],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9922534,0.00006547219,0.00700963,0.000007795087,0.000002493839,0.0000231334,0.0001996392,0.00003347349,0.0004049932],"genre_scores_gemma":[0.9886569,0.00006191955,0.01062655,0.00001732893,0.000004332254,0.00005028593,0.0003131928,0.000009728942,0.00025965],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009222946,"threshold_uncertainty_score":0.01833856,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03698660390293751,"score_gpt":0.2313048636297079,"score_spread":0.1943182597267704,"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."}}