{"id":"W3100305158","doi":"10.48090/ciki.v1i1.967","title":"ACOPLAMENTO BIBLIOGRÁFICO NA LITERATURA INTERNACIONAL SOBRE INOVAÇÃO ABERTA NO DESENVOLVIMENTO DE SOFTWARE","year":2020,"lang":"en","type":"article","venue":"Anais ... Congresso Internacional do Conhecimento e Inovação","topic":"Open Source Software Innovations","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Profitability index; Theme (computing); Production (economics); Computer science; Software; Open source software; Code (set theory); Software development; Early adopter; Knowledge management; Business; World Wide Web; Library science; Marketing; Economics; Set (abstract data type)","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.003948569,0.001001876,0.001572694,0.06867675,0.00259782,0.009652095,0.001151798,0.001857408,0.01654109],"category_scores_gemma":[0.02817895,0.0005460258,0.001252222,0.09242797,0.002605648,0.006064181,0.002626766,0.002215328,0.0030883],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005105045,"about_ca_system_score_gemma":0.01055523,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01099419,"about_ca_topic_score_gemma":0.01556704,"domain_scores_codex":[0.9940279,0.00117747,0.001074349,0.0009597389,0.002501568,0.0002590872],"domain_scores_gemma":[0.9576671,0.02690063,0.004276776,0.001274737,0.009309312,0.0005714647],"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":[0.0002753643,0.0001397641,0.008099586,0.08886626,0.0005787511,0.0007116384,0.006084819,0.0007067161,0.002443151,0.04729117,0.1365304,0.7082725],"study_design_scores_gemma":[0.00001299647,0.00005304665,0.0109065,0.0593668,0.0008355624,0.0009358122,0.003173865,0.0002292773,0.0008335797,0.00548259,0.9181196,0.0000503302],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.006528971,0.9291637,0.001886463,0.006715735,0.003759907,0.00005574069,0.001938244,0.000166168,0.04978509],"genre_scores_gemma":[0.03315733,0.9499686,0.003331732,0.001695049,0.003169805,0.0001143128,0.002315771,0.0000878026,0.006159783],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9313232,"threshold_uncertainty_score":0.05533546,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02197814373903615,"score_gpt":0.2653953201428509,"score_spread":0.2434171764038148,"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."}}