{"id":"W6939933581","doi":"10.6084/m9.figshare.26299303.v1","title":"Additional file 1 of SurvdigitizeR: an algorithm for automated survival curve digitization","year":2024,"lang":"en","type":"other","venue":"Figshare","topic":"Mycorrhizal Fungi and Plant Interactions","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"SickKids Foundation; Hospital for Sick Children; McMaster University; York University; University of Toronto","funders":"","keywords":"Digitization; Interface (matter); Plot (graphics); Curve fitting; Data file","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":[0.00289706,0.00251056,0.00193885,0.003942424,0.0009304109,0.002586349,0.003588805,0.001389241,0.7637746],"category_scores_gemma":[0.02138484,0.001382847,0.001562334,0.00411609,0.0004542737,0.002453601,0.002296087,0.001526133,0.3679268],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001171795,"about_ca_system_score_gemma":0.001812251,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004689513,"about_ca_topic_score_gemma":0.008994103,"domain_scores_codex":[0.9986032,0.0002722745,0.0001931179,0.0004139459,0.0003636371,0.0001538098],"domain_scores_gemma":[0.988246,0.008035654,0.000524617,0.001175304,0.001657108,0.0003613461],"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":[0.0001220998,0.00002986599,0.0009503734,0.0007617059,0.0000299517,0.00004231709,0.00004970163,0.000524618,0.0002791288,0.0007651504,0.9827355,0.01370959],"study_design_scores_gemma":[0.0006805818,0.00007266909,0.006834405,0.0005771585,0.00008485934,0.0002998648,0.00009292091,0.005181649,0.003204561,0.009773633,0.973038,0.0001596204],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"software","genre_scores_codex":[0.0004160273,0.00008029141,0.01527564,0.000150628,0.0001159863,0.0001484383,0.9372689,0.04243854,0.004105515],"genre_scores_gemma":[0.00855898,0.0002362822,0.05274487,0.0004994426,0.0001558032,0.00209608,0.8360474,0.08153048,0.01813071],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.7637746,"threshold_uncertainty_score":0.3369468,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02467153991390706,"score_gpt":0.2406588250671756,"score_spread":0.2159872851532686,"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."}}