{"id":"W4249398894","doi":"10.24926/aws.0113","title":"Factors Influencing American Woodcock Hunter Satisfaction in Canada","year":2019,"lang":"en","type":"article","venue":"","topic":"Wildlife Ecology and Conservation","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Environment and Climate Change Canada","funders":"","keywords":"Fledge; Woodcock; Geography; Demography; Population; Logistic regression; Ecology; Statistics; Mathematics; Biology; Sociology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0004662528,0.0001726634,0.0002096201,0.001052219,0.002308447,0.0008459582,0.0005218742,0.0002319842,0.002627359],"category_scores_gemma":[0.001851665,0.0001734556,0.0002302747,0.002388755,0.0007839567,0.0002212845,0.0005722215,0.0003815693,0.0001855758],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009433393,"about_ca_system_score_gemma":0.008936447,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9864162,"about_ca_topic_score_gemma":0.9951419,"domain_scores_codex":[0.9994235,0.00004543203,0.00002259876,0.00005353779,0.0002208964,0.0002340099],"domain_scores_gemma":[0.9978566,0.0001102169,0.0003121555,0.00003819406,0.0009522298,0.0007306613],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004308451,0.00002219447,0.9916553,0.00001626345,0.00001759319,0.00007485349,0.002238019,0.00006149481,0.0001552397,0.00004601393,0.001232416,0.004437486],"study_design_scores_gemma":[0.000001339573,0.00001202745,0.9967102,0.000009630251,0.000002883407,0.00002752021,0.00239951,0.00008154576,0.00001490574,0.00001010835,0.0007252631,0.000005110121],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9971703,0.0001431002,0.00003504334,0.0001341056,0.000004539854,0.00001141738,0.0005879089,0.000004228156,0.001909293],"genre_scores_gemma":[0.9983907,0.0001436731,0.00006897877,0.0000589033,0.000002062126,0.000006439835,0.0004894594,0.000002161774,0.0008377494],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01358378,"threshold_uncertainty_score":0.06844437,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006390898967781117,"score_gpt":0.1866543538513476,"score_spread":0.1802634548835665,"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."}}