{"id":"W2911476493","doi":"10.1007/s11219-018-9428-4","title":"API trustworthiness: an ontological approach for software library adoption","year":2019,"lang":"en","type":"article","venue":"Software Quality Journal","topic":"Software Engineering Research","field":"Computer Science","cited_by":9,"is_retracted":false,"has_abstract":false,"ca_institutions":"Concordia University","funders":"","keywords":"Computer science; Trustworthiness; License; Software engineering; Quality (philosophy); Application programming interface; Software; World Wide Web; Data science; Computer security","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.002269496,0.0003358983,0.0005035143,0.0002717273,0.0003335935,0.0008752627,0.002202555,0.0003046472,0.0001496759],"category_scores_gemma":[0.002198553,0.0002870195,0.0003066833,0.0005785102,0.00007009717,0.00314261,0.0003663604,0.0009685941,0.00006149699],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001260438,"about_ca_system_score_gemma":0.0003570874,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009610738,"about_ca_topic_score_gemma":8.822238e-7,"domain_scores_codex":[0.9962965,0.0004351836,0.0007009719,0.0007651572,0.0009626257,0.0008395598],"domain_scores_gemma":[0.9961678,0.001695377,0.0002608028,0.001053577,0.0003002648,0.0005222245],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003442012,0.001052628,0.7268558,0.0007342375,0.000185563,0.00006816292,0.001865114,0.01125145,0.0001285481,0.02389747,0.006092988,0.2275239],"study_design_scores_gemma":[0.008861175,0.003708106,0.8255603,0.0003541387,0.00006821187,0.002397991,0.0007767049,0.06199238,0.0005280351,0.06455097,0.02713028,0.004071711],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1215489,0.0003022225,0.875169,0.0002478034,0.0008204667,0.0004952891,0.00001863085,0.001338998,0.0000586863],"genre_scores_gemma":[0.1743141,0.00002455235,0.8239743,0.0003754906,0.0005715812,0.00005853318,0.00006914572,0.00005704346,0.0005553528],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.2234522,"threshold_uncertainty_score":0.9999582,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04697602169952794,"score_gpt":0.3156316965895039,"score_spread":0.268655674889976,"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."}}