{"id":"W2398184019","doi":"","title":"Understanding Expert Perception in Software Estimation Effort: a Cognitive Approach Using Software Chunks.","year":2014,"lang":"en","type":"article","venue":"Cognitive Science","topic":"Software Engineering Research","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Analogy; Computer science; Intuition; Categorization; Software development; Software; Perception; Artificial intelligence; Cognition; Estimation; Machine learning; Cognitive science; Psychology; Engineering; Systems engineering; Programming language","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.002355486,0.000265402,0.0002489625,0.0009185416,0.0005300323,0.0004875323,0.0009654784,0.0001019888,0.00001293516],"category_scores_gemma":[0.01080514,0.0002731793,0.00006027473,0.002952536,0.000735183,0.002234294,0.0005212451,0.0003648015,0.00004806191],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008280884,"about_ca_system_score_gemma":0.0003691076,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004680578,"about_ca_topic_score_gemma":0.000003667054,"domain_scores_codex":[0.9965066,0.0001339143,0.0002914043,0.001077399,0.001152679,0.0008379832],"domain_scores_gemma":[0.9972836,0.001564671,0.0001005619,0.0003513457,0.0004542516,0.0002455155],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001324875,0.0009039324,0.2090131,0.0004364324,0.00005881161,0.0000909189,0.03842953,0.02441988,0.01040657,0.008507785,0.00009501733,0.7075056],"study_design_scores_gemma":[0.0008108316,0.0001141325,0.1032838,0.0005372553,0.000006760093,0.00004829919,0.0010989,0.8904082,0.001178251,0.00202723,0.000002908511,0.000483516],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1594039,0.00003412223,0.8392881,0.00002333985,0.0002193439,0.0004172199,0.000003622938,0.0003494366,0.0002609202],"genre_scores_gemma":[0.8152812,0.00000403271,0.1844573,0.0001181981,0.00004955059,0.00005287145,0.000008327665,0.00001914985,0.000009396445],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8659883,"threshold_uncertainty_score":0.999972,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1028197548921514,"score_gpt":0.328239075028085,"score_spread":0.2254193201359336,"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."}}