{"id":"W7117545812","doi":"10.22541/au.176709437.73013555/v1","title":"Moose declines in Ontario, Canada: Mixed messages easily equate to mismanagement","year":2025,"lang":"","type":"article","venue":"","topic":"Healthcare Systems and Challenges","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lakehead University; Ministry of Natural Resources and Forestry","funders":"","keywords":"Government (linguistics); Agency (philosophy); Public policy; Public interest; Work (physics)","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":[0.006789595,0.0002469386,0.0003824735,0.002948241,0.004463201,0.003914818,0.001241934,0.001952528,0.004023468],"category_scores_gemma":[0.0269208,0.0003767384,0.0003339728,0.003752259,0.002445715,0.001650077,0.00166995,0.001981803,0.0003379123],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05500276,"about_ca_system_score_gemma":0.09368668,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9643537,"about_ca_topic_score_gemma":0.9878374,"domain_scores_codex":[0.9945133,0.0008818257,0.0005360176,0.0003040846,0.003245567,0.0005192115],"domain_scores_gemma":[0.9564593,0.0142631,0.00641802,0.0005182688,0.02005377,0.002287635],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004141778,0.00008463102,0.1466415,0.0195929,0.0002627531,0.003951176,0.1376101,0.0003376179,0.004325272,0.003839102,0.3966229,0.2863179],"study_design_scores_gemma":[0.0000414414,0.00009275854,0.2686903,0.007800005,0.0002399148,0.0005282781,0.07453519,0.0002986277,0.001047973,0.0006145931,0.6459911,0.0001197194],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.2723134,0.1073981,0.001144376,0.5159135,0.002244879,0.0006304745,0.01069559,0.0003149766,0.08934483],"genre_scores_gemma":[0.8065627,0.06846637,0.001961009,0.09219509,0.0008070985,0.000291441,0.002872826,0.0001281893,0.02671535],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.05500276,"threshold_uncertainty_score":0.3990749,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1078889471567547,"score_gpt":0.394311487315517,"score_spread":0.2864225401587622,"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."}}