{"id":"W6958382549","doi":"10.6084/m9.figshare.20800237.v1","title":"Snowshoe hare mismatch survival analysis code","year":2022,"lang":"en","type":"other","venue":"Figshare","topic":"","field":"","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Snowshoe hare; Code (set theory); Scripting language; Statistical analysis; Debris","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001888876,0.001315244,0.001005394,0.001455734,0.0007129031,0.001382689,0.002347322,0.0008494229,0.5167298],"category_scores_gemma":[0.006058061,0.00122986,0.00135379,0.000959831,0.0004437353,0.001420827,0.001435576,0.001271055,0.2086488],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009022201,"about_ca_system_score_gemma":0.001202235,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005925028,"about_ca_topic_score_gemma":0.01194831,"domain_scores_codex":[0.9995437,0.00009303292,0.00005389357,0.000133914,0.00009601421,0.00007942955],"domain_scores_gemma":[0.9967057,0.002222395,0.0001530475,0.000349791,0.000417562,0.0001515716],"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":[0.0003423936,0.00009161254,0.00481871,0.0007506181,0.0000868635,0.0001750467,0.0002996553,0.002897125,0.001333549,0.00375971,0.9579568,0.02748802],"study_design_scores_gemma":[0.0008798314,0.0001037835,0.01684469,0.0003753116,0.0000988139,0.0003599554,0.0001475725,0.01835133,0.005256192,0.01728392,0.9401236,0.0001749264],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"software","genre_scores_codex":[0.0044015,0.00009747838,0.05106724,0.0003083658,0.0002776024,0.0005137206,0.7443697,0.1808908,0.01807364],"genre_scores_gemma":[0.02892381,0.0002051863,0.1000133,0.0009124132,0.000166281,0.005455633,0.5734999,0.235585,0.05523845],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.5167298,"threshold_uncertainty_score":0.6893262,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06756504759131508,"score_gpt":0.3072116025770283,"score_spread":0.2396465549857132,"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."}}