{"id":"W130719912","doi":"","title":"Open Source User Assistance: Ensuring That Everybody Wins","year":2010,"lang":"en","type":"article","venue":"˜The œopen source business resource","topic":"Open Source Software Innovations","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Open source; Computer science; Computer security; Internet privacy; Operating system; Software","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","scholarly_communication","open_science","insufficient_payload"],"consensus_categories":["open_science"],"category_scores_codex":[0.003187831,0.0009042866,0.0009515668,0.0003866388,0.002723092,0.01079329,0.0269167,0.0005786605,0.0004177516],"category_scores_gemma":[0.0004333915,0.0007410263,0.0002191557,0.004748115,0.0006179768,0.003768281,0.0185661,0.001875497,0.0007787676],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001773444,"about_ca_system_score_gemma":0.0005645991,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001925351,"about_ca_topic_score_gemma":0.001103463,"domain_scores_codex":[0.9933739,0.0004702237,0.001070552,0.00203631,0.00152714,0.001521923],"domain_scores_gemma":[0.9909013,0.0009068343,0.0009527897,0.005933627,0.0008950504,0.0004104176],"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":[0.0007764486,0.002890604,0.1669626,0.0003412759,0.001087794,0.0003761081,0.02627856,0.0162369,0.01640472,0.06471762,0.3025957,0.4013316],"study_design_scores_gemma":[0.001347978,0.00003058354,0.05885523,0.0001274724,0.00004310965,0.0002167628,0.0005700204,0.002667018,0.0004347876,0.0005736331,0.9340442,0.001089161],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.190814,0.0001403413,0.7221947,0.01496817,0.001705559,0.00435897,0.00003501073,0.001649918,0.06413333],"genre_scores_gemma":[0.8876252,0.000006527903,0.02780842,0.007431692,0.0007618832,0.0004904279,0.00005392802,0.0003213496,0.07550053],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6968113,"threshold_uncertainty_score":0.9999992,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02815241198794301,"score_gpt":0.2748855498671234,"score_spread":0.2467331378791804,"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."}}