{"id":"W6894216424","doi":"10.5443/724","title":"Lemming abundance and habitat selection at Walker Bay, Nunavut","year":2016,"lang":"en","type":"dataset","venue":"Canadian Polar Data Network","topic":"Visual Attention and Saliency Detection","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Abundance (ecology); Habitat; Selection (genetic algorithm); Mark and recapture; Trapping; Sexual selection","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005565803,0.0003370472,0.0002908059,0.0002541913,0.0008089737,0.0004124813,0.001891733,0.0003387867,0.0001779725],"category_scores_gemma":[0.00007235754,0.0003205793,0.00005092015,0.0005103001,0.0000880166,0.0009020285,0.0008038656,0.0003924409,0.0005056401],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005031256,"about_ca_system_score_gemma":0.0004796179,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.02695958,"about_ca_topic_score_gemma":0.7958153,"domain_scores_codex":[0.9972786,0.0001592804,0.0003432777,0.001116128,0.0002893912,0.0008133418],"domain_scores_gemma":[0.9972019,0.00006722911,0.0001982683,0.001799849,0.00006729798,0.0006654267],"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":[0.000002478807,0.000004335739,0.0006097972,0.00002629209,0.00002623288,0.00002151296,0.00000659023,0.000004539099,0.000003600024,0.0001116836,0.9940837,0.005099205],"study_design_scores_gemma":[0.0001435698,0.00004060745,0.00127336,0.0001371674,0.00002637387,0.0001161946,0.000001360755,0.00212044,0.000001864519,0.0001598975,0.9955627,0.0004164751],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004769036,0.001379189,0.009200594,0.0008127968,0.002735058,0.0002494473,0.9853957,0.00008424738,0.00009531723],"genre_scores_gemma":[0.000475204,0.0007404415,0.000944924,0.001770675,0.001723197,0.00001584337,0.993154,0.00003374849,0.001141893],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7688557,"threshold_uncertainty_score":0.9999246,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02128689903633256,"score_gpt":0.2554565468692457,"score_spread":0.2341696478329132,"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."}}