{"id":"W2169189590","doi":"10.1007/11499053_15","title":"Examining Usage Patterns of the FIT Acceptance Testing Framework","year":2005,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Software Engineering Techniques and Practices","field":"Computer Science","cited_by":15,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Acceptance testing; Executable; Computer science; Test (biology); Software; Observational study; Software engineering; Statistics; Programming language; Mathematics","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":[0.007481523,0.0005607115,0.0003626687,0.004100862,0.0005973772,0.002204471,0.001447215,0.001258895,0.001547478],"category_scores_gemma":[0.08651495,0.000503149,0.0007237845,0.003385782,0.0007296588,0.00423053,0.001424128,0.001548448,0.0004741057],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007053767,"about_ca_system_score_gemma":0.0008445768,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004844846,"about_ca_topic_score_gemma":0.008241093,"domain_scores_codex":[0.9894676,0.00416688,0.000716975,0.0006306203,0.004373204,0.0006448188],"domain_scores_gemma":[0.8958449,0.07876372,0.007190953,0.006541112,0.01074578,0.0009136979],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005340206,0.0006923741,0.5596518,0.0002467649,0.0001967122,0.000719009,0.01186856,0.006327101,0.01112819,0.01292343,0.001993198,0.3937187],"study_design_scores_gemma":[0.00008481082,0.001689972,0.6864596,0.0004666602,0.0003405792,0.00492808,0.01056714,0.2436395,0.01129387,0.02992486,0.01040511,0.0001996653],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9571689,0.0002845981,0.03531051,0.0004069829,0.00001464049,0.00008315265,0.000163641,0.0003553699,0.006212194],"genre_scores_gemma":[0.9844263,0.00006628926,0.01419954,0.00003211031,0.000004958582,0.00005074916,0.000195298,0.000114384,0.0009102652],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007481523,"threshold_uncertainty_score":0.03956658,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04884192614826906,"score_gpt":0.2762676015509501,"score_spread":0.227425675402681,"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."}}