{"id":"W6902267089","doi":"10.6084/m9.figshare.20557296.v1","title":"Survival data for analysis","year":2022,"lang":"en","type":"dataset","venue":"Figshare","topic":"","field":"","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta; University of British Columbia","funders":"","keywords":"Snowshoe hare; Covariate; Survival analysis; Telemetry; Spring (device)","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0002735342,0.0003964416,0.0007395328,0.0006601865,0.0002136465,0.0001503348,0.005265135,0.0002263325,0.9933228],"category_scores_gemma":[0.005954278,0.0004363864,0.0003755902,0.001749035,0.000004043962,0.0001802883,0.004570871,0.0004994511,0.04573529],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000162346,"about_ca_system_score_gemma":0.0002717923,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001688621,"about_ca_topic_score_gemma":0.002518782,"domain_scores_codex":[0.9970785,0.0001556433,0.0003400119,0.001199549,0.0007737678,0.0004524796],"domain_scores_gemma":[0.9926441,0.0003894434,0.000472281,0.006231503,0.0001351107,0.0001275249],"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":[0.00001846635,0.00005229061,3.28957e-7,0.0005606699,0.001894937,0.0000288357,0.000001166371,0.00003440308,9.606858e-8,7.634104e-8,0.9973858,0.00002293247],"study_design_scores_gemma":[0.0001905855,0.00002088387,0.00002537473,0.000110813,0.002210134,0.000001170814,0.00000703967,0.0002069934,2.924222e-7,0.000001233322,0.9967317,0.0004937995],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[7.891657e-9,0.0004036653,1.010437e-7,0.00000873709,0.0001195555,0.000606766,0.9986986,0.0001154109,0.00004718947],"genre_scores_gemma":[8.355558e-8,0.000002177057,0.0000145599,0.00006708423,0.0003843854,0.00122259,0.9977102,0.0001226269,0.0004763315],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.9475875,"threshold_uncertainty_score":0.9998088,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2766171660136862,"score_gpt":0.3975971228481824,"score_spread":0.1209799568344962,"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."}}