{"id":"W4312310005","doi":"10.2139/ssrn.4271238","title":"Semantics Meets Attractiveness: Choice by Salience","year":2022,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Cognitive Science and Mapping","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"York University","funders":"","keywords":"Salience (neuroscience); Attractiveness; Semantics (computer science); Computer science; Psychology; Social psychology; Cognitive psychology; Programming language","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002311753,0.0003114604,0.0006124723,0.0009133462,0.0009463527,0.004581743,0.0005066543,0.001642586,0.0151301],"category_scores_gemma":[0.01930299,0.0004531965,0.0005179649,0.0005695655,0.003025859,0.00783599,0.002163962,0.001536771,0.0008983326],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000725669,"about_ca_system_score_gemma":0.0006334386,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000686521,"about_ca_topic_score_gemma":0.0009464492,"domain_scores_codex":[0.9980653,0.0008938432,0.00007110302,0.0003476375,0.00043384,0.0001883152],"domain_scores_gemma":[0.9913933,0.005623949,0.0006463819,0.0007067483,0.0007054311,0.0009241673],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.001431602,0.0003330375,0.02293824,0.0003163631,0.0001207067,0.000597503,0.002862481,0.002930085,0.01427629,0.8763137,0.003628348,0.07425163],"study_design_scores_gemma":[0.0001134289,0.0001931519,0.01182188,0.00002470866,0.0000527289,0.0003559545,0.00135449,0.008603271,0.001443288,0.9720303,0.003967596,0.00003908618],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7492413,0.0006487788,0.06447788,0.005112537,0.0001536641,0.00008452956,0.0001469152,0.0001162824,0.1800181],"genre_scores_gemma":[0.9945952,0.00006544546,0.003302223,0.00009240766,0.00003619802,0.00001240167,0.00002532491,0.00004185451,0.001828977],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0151301,"threshold_uncertainty_score":0.05061525,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009883660493746834,"score_gpt":0.2451564271396864,"score_spread":0.2352727666459396,"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."}}