{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002500262,0.001308873,0.001249453,0.002604701,0.0006415683,0.001602061,0.002537617,0.001842598,0.1493479],"category_scores_gemma":[0.01597419,0.0005087759,0.001335441,0.005414591,0.00035835,0.001026859,0.001575754,0.001537162,0.07751771],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001120258,"about_ca_system_score_gemma":0.001961201,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01392168,"about_ca_topic_score_gemma":0.02254175,"domain_scores_codex":[0.9983692,0.0002808408,0.0003105765,0.0005105737,0.0003300236,0.0001987362],"domain_scores_gemma":[0.9921078,0.003200583,0.0007876312,0.001892321,0.001594932,0.000416612],"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":[0.0001209685,0.00003244789,0.00409745,0.0008148753,0.0001031379,0.00003169001,0.00004293198,0.0008524758,0.000135011,0.000758558,0.988351,0.004659463],"study_design_scores_gemma":[0.0003801634,0.00005885099,0.01888158,0.0005586689,0.00009926167,0.00008186258,0.0001315287,0.001338282,0.0003213852,0.00250975,0.9755796,0.0000590727],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002043402,0.00002216982,0.0001045314,0.00003827023,0.00001863142,0.00001955764,0.9990489,0.0001906055,0.0003529849],"genre_scores_gemma":[0.001107309,0.00003514894,0.0005428735,0.00006474505,0.00001119965,0.0002690837,0.9969392,0.0001524381,0.0008780358],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1493479,"threshold_uncertainty_score":0.4996184,"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."}}