{"id":"W2753474671","doi":"","title":"Text Analytics with Eclipse for Software Engineers","year":2011,"lang":"en","type":"article","venue":"Conference of the Centre for Advanced Studies on Collaborative Research","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Concordia University","funders":"","keywords":"Eclipse; Computer science; Software analytics; Analytics; Software engineering; Software; Data science; Software development; Software construction; Programming language; Astronomy; Physics","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":[0.0005591238,0.0001836907,0.0003636105,0.000162279,0.0003846679,0.00004484064,0.001164661,0.00004701556,0.000003738876],"category_scores_gemma":[0.003276225,0.0001069061,0.00007583483,0.001240469,0.0005460936,0.0002101788,0.0002984757,0.0001548417,0.000002131031],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009726194,"about_ca_system_score_gemma":0.0004087179,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002024528,"about_ca_topic_score_gemma":0.0001436387,"domain_scores_codex":[0.9982954,0.0001187374,0.0002359582,0.0004169195,0.0004304197,0.0005026021],"domain_scores_gemma":[0.9926936,0.001658273,0.0001518671,0.0006452529,0.004786038,0.00006495587],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00193899,0.0004710166,0.001530492,0.0006168698,0.0009774377,0.000008084327,0.04037743,0.003153849,0.0006259269,0.8921824,0.01411611,0.04400143],"study_design_scores_gemma":[0.01112066,0.009922255,0.002260234,0.002423287,0.0001875118,0.000004508228,0.2291112,0.04496232,0.4706783,0.1910855,0.03640744,0.0018368],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05748905,0.002771456,0.9054238,0.01492027,0.002596015,0.01085717,0.0005124892,0.000299869,0.005129944],"genre_scores_gemma":[0.8294797,0.000369503,0.1670488,0.00006606626,0.00008127534,0.0003849806,0.000002586431,0.00002293184,0.002544192],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.7719907,"threshold_uncertainty_score":0.4359506,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1955714193503502,"score_gpt":0.3826565469449737,"score_spread":0.1870851275946235,"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."}}