{"id":"W4392926780","doi":"10.21105/joss.06058","title":"Shapelets: A Python package implementing shapeletfunctions and their applications","year":2024,"lang":"en","type":"article","venue":"The Journal of Open Source Software","topic":"Computer Graphics and Visualization Techniques","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada; Alliance de recherche numérique du Canada","keywords":"Python (programming language); Computer science; Programming language; Computer graphics (images); Computer architecture; Computational science","routes":{"ca_aff":true,"ca_fund":true,"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":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.001350804,0.0001184912,0.0001641859,0.0001744201,0.0003913269,0.001283629,0.001526504,0.0000305255,0.00002431438],"category_scores_gemma":[0.000024929,0.00007225052,0.00008066886,0.0006251876,0.00004710579,0.0007207255,0.001104251,0.0002362491,0.000004403214],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001981872,"about_ca_system_score_gemma":0.00007591068,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001553857,"about_ca_topic_score_gemma":0.000005200513,"domain_scores_codex":[0.9990561,0.0001052501,0.000349731,0.0001568762,0.0001624143,0.0001696181],"domain_scores_gemma":[0.9989095,0.0003434072,0.0001810391,0.0003375709,0.0001562182,0.00007225855],"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":[0.000007889856,0.00006787563,0.0004953871,0.0000749569,0.0001615822,0.000007840167,0.007830457,0.00001603984,0.000521132,0.1737477,0.01349764,0.8035715],"study_design_scores_gemma":[0.0003398256,0.0002983452,0.00067229,0.0004247662,0.00006729063,0.0008816296,0.000921282,0.04452294,0.001096812,0.08165841,0.8687584,0.0003579556],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.001878429,0.001846912,0.9946011,0.001035403,0.00008027823,0.0002648548,0.000005022387,0.0001761832,0.0001118713],"genre_scores_gemma":[0.9523212,0.0006986321,0.04493963,0.001195047,0.0003677155,0.00004160541,0.000004277109,0.00005079729,0.000381137],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9504427,"threshold_uncertainty_score":0.9997531,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02544226439593014,"score_gpt":0.3156824286213635,"score_spread":0.2902401642254334,"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."}}