{"id":"W2996771664","doi":"10.1109/saner48275.2020.9054792","title":"Cross-Dataset Design Discussion Mining","year":2020,"lang":"en","type":"preprint","venue":"","topic":"Software Engineering Research","field":"Computer Science","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Computer science; Classifier (UML); Transfer of learning; Artificial intelligence; Machine learning; Documentation; Software; Replicate; Data mining","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005042378,0.0002380182,0.0002287522,0.000125208,0.00007223051,0.0008804205,0.002873616,0.0001833797,0.0001076411],"category_scores_gemma":[0.001041496,0.00015808,0.00006935735,0.000261579,0.00003560115,0.0002279007,0.006862528,0.0006389511,0.0003161149],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007456482,"about_ca_system_score_gemma":0.000234294,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002289486,"about_ca_topic_score_gemma":4.704119e-7,"domain_scores_codex":[0.9978597,0.00008471039,0.0002334205,0.0008836084,0.000570599,0.0003680232],"domain_scores_gemma":[0.9976676,0.0006041006,0.00005330254,0.001386542,0.00005436402,0.0002341105],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00003515904,0.000131736,0.009732312,0.0008098223,0.0001720059,0.0008051784,0.002357773,0.1252637,0.0008562767,0.002668612,0.7507962,0.1063713],"study_design_scores_gemma":[0.0004662617,0.0001467242,0.01866143,0.0003000755,0.00001069406,0.00002478505,0.00001449955,0.9338151,0.005579406,0.004559295,0.03510405,0.001317646],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0003574727,0.00005405173,0.9951205,0.002457033,0.0007068592,0.0002550615,0.0001059454,0.0008562071,0.00008685167],"genre_scores_gemma":[0.06552263,0.00001290901,0.9322931,0.0002786793,0.0002466494,0.00008795262,0.0004907203,0.0000421087,0.001025284],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.8085515,"threshold_uncertainty_score":0.855365,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08501070002276262,"score_gpt":0.350103306526252,"score_spread":0.2650926065034894,"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."}}