{"id":"W7006721842","doi":"","title":"Wolf behavior at the densite and responses to simulated wolf and coyote howls near rendezvous sites","year":2001,"lang":"en","type":"other","venue":"Library and Archives Canada (Government of Canada)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Rendezvous; Hydrology (agriculture); Electrocution; Current (fluid)","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":[0.0002069131,0.0001647359,0.0002711479,0.0002359047,0.0006081869,0.000492298,0.0004909311,0.0004817312,0.00519491],"category_scores_gemma":[0.001306139,0.0001784041,0.0002084957,0.0002804831,0.0003044571,0.000201916,0.0004060463,0.0003050923,0.0008158509],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001606518,"about_ca_system_score_gemma":0.000797678,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2203355,"about_ca_topic_score_gemma":0.5572559,"domain_scores_codex":[0.9998729,0.00003535725,0.000003295826,0.00002767157,0.00003396113,0.00002668631],"domain_scores_gemma":[0.9995697,0.0001328167,0.00002711654,0.00004020411,0.0001260798,0.0001040673],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.004173881,0.001020658,0.5525684,0.0001469908,0.0002488534,0.001317304,0.003692265,0.3696182,0.02102042,0.001952825,0.01830941,0.02593081],"study_design_scores_gemma":[0.0003015939,0.00103494,0.6833798,0.0000423182,0.00009140209,0.0001580306,0.006215025,0.2912469,0.008098329,0.0008592523,0.008498635,0.00007382067],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.992327,0.000008884287,0.0001912036,0.00004389152,0.000003235893,0.00002258129,0.0007521328,0.00003733507,0.006613771],"genre_scores_gemma":[0.9916096,0.00001647903,0.0004311946,0.00001572374,8.474036e-7,0.00002963889,0.00106836,0.00001568572,0.006812353],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2203355,"threshold_uncertainty_score":0.4381059,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005935675390863273,"score_gpt":0.1754657911925567,"score_spread":0.1695301158016935,"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."}}