{"id":"W4253058568","doi":"10.31219/osf.io/pyqac","title":"Just TYPEical: Visualizing Common Function Type Signatures in R","year":2020,"lang":"en","type":"preprint","venue":"","topic":"Data Visualization and Analytics","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Programming language; Visualization; Data type; Abstraction; Function (biology); Task (project management); Type (biology); Artificial intelligence","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001722258,0.0001779296,0.0002519122,0.0001657606,0.00003650573,0.0003165231,0.0008652619,0.0002210886,0.0001363002],"category_scores_gemma":[0.00007422017,0.000166219,0.00005566999,0.0005877785,0.00001799319,0.0001721992,0.001453647,0.000510121,0.000161207],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004533931,"about_ca_system_score_gemma":0.0001116936,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007505247,"about_ca_topic_score_gemma":0.00007265202,"domain_scores_codex":[0.9986718,0.00008927607,0.0002994719,0.0005068345,0.0002650558,0.0001675652],"domain_scores_gemma":[0.9991669,0.0000456624,0.0001078056,0.0005111826,0.00007776541,0.00009067003],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002553064,0.0001863692,0.001079575,0.0002394934,0.00005737013,0.00004601352,0.0005591792,0.006719672,0.0002910882,0.8647911,0.11606,0.009944558],"study_design_scores_gemma":[0.0002116069,0.00008053699,0.002191143,0.0001115801,0.00002083465,6.980616e-7,0.00005962611,0.9263179,0.0001745648,0.01341319,0.05699763,0.0004207187],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0009300475,0.0003498582,0.9685059,0.002841465,0.002121027,0.0002627529,0.00001017772,0.0007051587,0.02427359],"genre_scores_gemma":[0.9826302,0.0001377009,0.008619468,0.00682192,0.0002294122,0.000006358708,0.0002621463,0.00002830321,0.001264469],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9817002,"threshold_uncertainty_score":0.6778215,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0806900216393894,"score_gpt":0.3661820777623713,"score_spread":0.2854920561229819,"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."}}