{"id":"W2105638048","doi":"10.1145/1328279.1328294","title":"Informing Eclipse API production and consumption","year":2007,"lang":"en","type":"article","venue":"","topic":"Software Engineering Research","field":"Computer Science","cited_by":37,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Eclipse; Application programming interface; Simple (philosophy); Software engineering; Programming language; World Wide Web","routes":{"ca_aff":true,"ca_fund":true,"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":[0.01430279,0.0009731792,0.0006450493,0.003148295,0.0009016658,0.003366795,0.001029386,0.00121085,0.01042328],"category_scores_gemma":[0.0736879,0.001414801,0.0004213995,0.00140063,0.0005298086,0.005932081,0.001848026,0.001642233,0.004558712],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002064479,"about_ca_system_score_gemma":0.003557024,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007973709,"about_ca_topic_score_gemma":0.01383292,"domain_scores_codex":[0.9930398,0.002458527,0.0006576122,0.0006991713,0.002685282,0.0004595659],"domain_scores_gemma":[0.9495749,0.02731335,0.002623243,0.01175926,0.008074569,0.000654767],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001697207,0.0003521504,0.04735785,0.0007326972,0.00006192025,0.0008691971,0.006723079,0.01991223,0.03530607,0.07057021,0.08497354,0.7314438],"study_design_scores_gemma":[0.0003194404,0.0003597255,0.03121372,0.0005455355,0.0001152538,0.0007533255,0.002598398,0.2523046,0.1016707,0.0440253,0.5657734,0.0003206673],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.147325,0.0006367402,0.6168036,0.003534446,0.0005284627,0.0009786108,0.009214127,0.1002783,0.1207007],"genre_scores_gemma":[0.4337378,0.0004875636,0.4953407,0.0004093979,0.0001250697,0.0009319658,0.01081498,0.02305462,0.03509802],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01430279,"threshold_uncertainty_score":0.07564127,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02388394682683828,"score_gpt":0.2828578363998166,"score_spread":0.2589738895729783,"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."}}