{"id":"W2756747626","doi":"10.6084/m9.figshare.5426935.v1","title":"Where might software fit with CoreTrustSeal?","year":2017,"lang":"en","type":"article","venue":"Figshare","topic":"Library Science and Information Systems","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Certification; Session (web analytics); Computer science; Software; Presentation (obstetrics); Software engineering; World Wide Web; Political science; Operating system","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["scholarly_communication","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00003293039,0.0000975577,0.00009500133,0.00003995758,0.0004780147,0.002066014,0.002368589,0.00004557088,0.03514595],"category_scores_gemma":[0.0001265789,0.0000665685,0.0000311979,0.0001087246,0.00001257828,0.009910347,0.0003818025,0.00007549901,0.0114929],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001101866,"about_ca_system_score_gemma":0.00009898487,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008407314,"about_ca_topic_score_gemma":0.000003639361,"domain_scores_codex":[0.9991423,0.000009866312,0.0001285737,0.0001978127,0.0003065469,0.0002148227],"domain_scores_gemma":[0.9985287,0.00002701741,0.0001973013,0.001024033,0.0001060512,0.0001169085],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[6.726743e-7,0.00000404311,0.001678226,0.00005505736,0.000003282577,0.000009643876,0.0004103552,0.000008726272,0.000001030685,0.0002399851,0.9891865,0.00840254],"study_design_scores_gemma":[0.0002547941,0.00008275438,0.04398622,0.001043576,4.01524e-7,0.00003585207,0.00006209679,0.008217867,0.0003535616,0.00007446394,0.945605,0.0002833735],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.01316342,0.002126911,0.02027492,0.02154971,0.003526791,0.005458787,0.1657092,0.006208499,0.7619818],"genre_scores_gemma":[0.9083422,0.00001137513,0.02727146,0.006181675,0.00085507,0.0006969616,0.01259252,0.00005580538,0.04399294],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8951788,"threshold_uncertainty_score":0.9989699,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0523990522912107,"score_gpt":0.2490082036261086,"score_spread":0.196609151334898,"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."}}