{"id":"W6969552352","doi":"10.5443/1742","title":"Long-term monitoring of the abundance of small mammals on Akimiski Island, Nunavut","year":2016,"lang":"en","type":"dataset","venue":"Canadian Polar Data Network","topic":"Educational Theory and Curriculum Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Transect; Abundance (ecology); Willow; Habitat; Aerial survey; Snow; Morning","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000627467,0.0004883226,0.0004350332,0.002174027,0.001005516,0.0006187959,0.001099596,0.0002751332,0.003381451],"category_scores_gemma":[0.001429633,0.0003232713,0.000236302,0.004732475,0.000250911,0.0003491699,0.001071234,0.0004997129,0.001330988],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003742902,"about_ca_system_score_gemma":0.005772475,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8995466,"about_ca_topic_score_gemma":0.9538133,"domain_scores_codex":[0.9996587,0.00003028299,0.00003579448,0.0001051425,0.00008906583,0.00008114109],"domain_scores_gemma":[0.9983137,0.00009822832,0.0002391826,0.0001475386,0.0008950438,0.0003063171],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002115869,0.0001119624,0.8302413,0.000631105,0.0001991394,0.0002113288,0.001212925,0.001173127,0.0009607954,0.0005594753,0.1476077,0.0168796],"study_design_scores_gemma":[0.00001954754,0.00001091446,0.9563987,0.000162718,0.000035088,0.00004104374,0.0009534523,0.0005000748,0.000233481,0.00005935532,0.04156261,0.00002305395],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.1259056,0.0004606897,0.0002437528,0.0001535104,0.00003405607,0.00009185805,0.8695073,0.00007728292,0.00352593],"genre_scores_gemma":[0.1509311,0.0005250162,0.00147645,0.00008845516,0.00002229539,0.0004256226,0.8414468,0.00004772903,0.005036537],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1004534,"threshold_uncertainty_score":0.20209,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04658290678569327,"score_gpt":0.3146206458550634,"score_spread":0.2680377390693701,"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."}}