{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002295907,0.001239348,0.0006479161,0.002809921,0.0007369224,0.003971387,0.001306295,0.001174736,0.01775153],"category_scores_gemma":[0.01075738,0.0004435357,0.001183358,0.002245893,0.0007559878,0.003467221,0.003215549,0.002048938,0.005002809],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005672643,"about_ca_system_score_gemma":0.001175257,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003410281,"about_ca_topic_score_gemma":0.003384785,"domain_scores_codex":[0.9989582,0.0003889957,0.00007522732,0.0001982562,0.0002773198,0.0001019195],"domain_scores_gemma":[0.9950087,0.002445426,0.0003707904,0.001209511,0.00069371,0.0002719337],"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":[0.001693565,0.0002587875,0.01357166,0.001612877,0.0002961744,0.001487727,0.0141346,0.02720203,0.05387316,0.1435163,0.3057313,0.4366218],"study_design_scores_gemma":[0.0002915118,0.0002241761,0.01262653,0.0006293448,0.000137113,0.001690432,0.003657861,0.2412871,0.06541158,0.1882109,0.4853779,0.0004555905],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.02441088,0.000412678,0.8468165,0.001843394,0.0002451978,0.00009913163,0.008392117,0.1063226,0.01145753],"genre_scores_gemma":[0.2600017,0.0006962928,0.69588,0.0005883625,0.0001040629,0.0003555266,0.00772797,0.02833907,0.006307117],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01775153,"threshold_uncertainty_score":0.05938482,"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."}}