{"id":"W6949841660","doi":"10.5281/zenodo.4144985","title":"TrackingSnowmelt: Code for \"Tracking snowmelt to jump the green wave: Phenological drivers of migration in a northern ungulate\"","year":2020,"lang":"en","type":"other","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Water Quality and Resources Studies","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Trent University; Memorial University of Newfoundland","funders":"","keywords":"Snowmelt; Phenology; Code (set theory); Jump; Snow","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001270267,0.001693234,0.0008667607,0.002696893,0.0006956136,0.002046745,0.002731745,0.001287782,0.4062198],"category_scores_gemma":[0.005751662,0.000991795,0.001096088,0.003594262,0.0004526221,0.002553639,0.003055602,0.001201171,0.3755895],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001068207,"about_ca_system_score_gemma":0.002188437,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01957333,"about_ca_topic_score_gemma":0.02730443,"domain_scores_codex":[0.9993406,0.00007589947,0.00007385918,0.0001095438,0.0003280457,0.00007205349],"domain_scores_gemma":[0.9970685,0.0006591429,0.0002435038,0.0004022345,0.001238905,0.0003877648],"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":[0.00006913002,0.00002096927,0.001719413,0.0003072022,0.0000169872,0.00003377093,0.00006933945,0.0005917368,0.0003820297,0.00128066,0.9747717,0.02073698],"study_design_scores_gemma":[0.0002297429,0.00002637659,0.006593401,0.0003930143,0.00002934255,0.0001049936,0.00006171247,0.003915453,0.001535814,0.004210302,0.9828043,0.00009554961],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"software","genre_scores_codex":[0.001153613,0.0002095081,0.02250282,0.0004750356,0.0003976486,0.0002706932,0.8261585,0.1087484,0.0400837],"genre_scores_gemma":[0.005381648,0.0004048702,0.03031102,0.0004621678,0.0000941088,0.0006203272,0.8401209,0.07244884,0.05015613],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.4062198,"threshold_uncertainty_score":0.8469554,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0780552171381125,"score_gpt":0.2454175150096699,"score_spread":0.1673622978715574,"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."}}