{"id":"W3094928326","doi":"10.1109/crowdre51214.2020.00007","title":"Open CrowdRE Challenges in Software Ecosystems","year":2020,"lang":"en","type":"article","venue":"","topic":"Open Source Software Innovations","field":"Computer Science","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"Ministry of Business, Innovation and Employment; Royal Society Te Apārangi","keywords":"Ecosystem; Context (archaeology); Software; Computer science; Product (mathematics); Environmental resource management; Ecology; Environmental science; Geography","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":[0.0002753213,0.0001038291,0.0001756833,0.00006628413,0.00005854283,0.0004140346,0.00290853,0.00005124389,0.0001439849],"category_scores_gemma":[0.0001891063,0.00009754768,0.00002349473,0.0007755361,0.00001127726,0.001077535,0.001606532,0.0001309916,0.0004981468],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000310227,"about_ca_system_score_gemma":0.00008986441,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000119769,"about_ca_topic_score_gemma":0.0003340806,"domain_scores_codex":[0.9988527,0.00005487798,0.0002585624,0.0004510346,0.0001731628,0.0002096541],"domain_scores_gemma":[0.9991835,0.00009450364,0.00005629904,0.0004998427,0.00007332668,0.00009251921],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001132493,0.0001787063,0.0177009,0.0001156979,0.00003127266,0.0001046141,0.0114857,0.0003154056,0.00014374,0.6821762,0.02043538,0.2673011],"study_design_scores_gemma":[0.004811813,0.001214572,0.04955691,0.0003544123,0.000009575067,0.00009838942,0.003325017,0.09964579,0.002274308,0.02713077,0.8088486,0.002729858],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.00880455,0.0005100279,0.7926031,0.1221024,0.0003926071,0.001096825,0.000006862368,0.001107851,0.07337575],"genre_scores_gemma":[0.8255095,0.00002603467,0.1698744,0.003931451,0.00009055872,0.00007266247,0.000003743316,0.00001866281,0.0004729831],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.816705,"threshold_uncertainty_score":0.6402836,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1288541117687109,"score_gpt":0.295772481013422,"score_spread":0.166918369244711,"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."}}