{"id":"W3207577578","doi":"10.5281/zenodo.56702","title":"KymographBuilder: Release 1.2.4","year":2016,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Data Visualization and Analytics","field":"Computer Science","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Computer science","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0004163293,0.0001017935,0.00009040401,0.0002412776,0.0009108858,0.000848669,0.001855467,0.00003731674,0.003909239],"category_scores_gemma":[0.0004430668,0.0000806274,0.0000487863,0.0007663156,0.000106923,0.000645616,0.001299145,0.00007818796,0.009798998],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005170549,"about_ca_system_score_gemma":0.0000032761,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002552961,"about_ca_topic_score_gemma":7.286884e-8,"domain_scores_codex":[0.9986134,0.0001876715,0.0001907557,0.0003902891,0.0003276186,0.0002902619],"domain_scores_gemma":[0.9986309,0.00002358944,0.00007523385,0.0007032186,0.0003664723,0.0002006333],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000007452099,0.00010355,0.000007715413,0.00001322051,0.0000208526,0.00001323158,0.0002687794,0.000005000002,0.002844891,0.2358885,0.3396257,0.4212011],"study_design_scores_gemma":[0.0003522351,0.00007303641,0.0001707227,0.00002192947,0.000003639453,0.00004313417,0.00002126244,0.001286744,0.0006128098,0.00111274,0.9961648,0.0001369679],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.001352255,0.00003615316,0.9416476,0.003830947,0.0001222245,0.0001703805,0.0001040707,0.001830586,0.05090576],"genre_scores_gemma":[0.9866532,0.0003459264,0.00502594,0.001283845,0.0002042542,3.334299e-8,0.0005195058,0.001204791,0.004762484],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.985301,"threshold_uncertainty_score":0.9970013,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03259376613490748,"score_gpt":0.2610300235890726,"score_spread":0.2284362574541651,"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."}}