{"id":"W3202544060","doi":"10.1145/3478513.3480506","title":"I♥LA","year":2021,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Parallel Computing and Optimization Techniques","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Canada Research Chairs; Adobe Systems; National Science Foundation","keywords":"Programming language; Computer science; Executable; Syntax; Python (programming language); Readability; Compiler; Linear algebra; Algebra over a field; Semantics (computer science); Scripting language; Functional programming; Artificial intelligence; Mathematics; Pure mathematics","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":[],"consensus_categories":[],"category_scores_codex":[0.0001391352,0.00008126573,0.00007756519,0.0001282365,0.0001735317,0.00009852218,0.0005354367,0.00007857808,0.00001839192],"category_scores_gemma":[0.00003118096,0.00008473018,0.00008639193,0.0007664995,0.00003275478,0.0001432407,0.00001301065,0.000223109,0.00001815517],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001052877,"about_ca_system_score_gemma":0.00006149128,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002938296,"about_ca_topic_score_gemma":0.000004422692,"domain_scores_codex":[0.9992717,0.00009661828,0.0001152407,0.0002398355,0.0001517424,0.0001248556],"domain_scores_gemma":[0.9988586,0.0001830534,0.000025168,0.0007861873,0.00009452339,0.00005247246],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00001116424,0.00103587,0.0001993348,0.00003624485,0.0001404723,0.0002036993,0.001193994,0.02964703,0.0005788816,0.3781746,0.00469281,0.5840859],"study_design_scores_gemma":[0.001636351,0.0004145759,0.003141514,0.0002055997,0.00006692934,0.0006687771,0.0001260787,0.3157621,0.1237077,0.3561997,0.1963755,0.001695255],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0004484408,0.00006071562,0.9938833,0.001990895,0.0001506746,0.00003030771,0.000001423459,0.0005892672,0.002845024],"genre_scores_gemma":[0.5752044,0.0002917535,0.4229088,0.001243832,0.00001093031,0.00001003122,0.000001733681,0.000008004498,0.0003204714],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.5823906,"threshold_uncertainty_score":0.3455196,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02178757743075356,"score_gpt":0.2687248266510491,"score_spread":0.2469372492202955,"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."}}