{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0295357,0.0009988344,0.0008171736,0.002093433,0.007475531,0.01424094,0.00363874,0.007236949,0.03221189],"category_scores_gemma":[0.1384943,0.0007762993,0.0005077604,0.001229081,0.005927419,0.02647563,0.02587643,0.007537026,0.02452163],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001554921,"about_ca_system_score_gemma":0.01361851,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002294796,"about_ca_topic_score_gemma":0.003200472,"domain_scores_codex":[0.9511882,0.01555313,0.001485691,0.002962179,0.02520694,0.003603836],"domain_scores_gemma":[0.8267252,0.04512317,0.009795014,0.03214647,0.05589009,0.03032001],"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":[0.0001447026,0.0004533587,0.007355819,0.0002290376,0.00004442922,0.000412057,0.005629107,0.0004394057,0.003762659,0.09994273,0.3963636,0.4852231],"study_design_scores_gemma":[0.00005917839,0.0001350626,0.005589364,0.0004602241,0.00004798119,0.001086113,0.007689155,0.003580129,0.004554641,0.1766486,0.7999983,0.0001511669],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.03567569,0.002399675,0.290501,0.3070056,0.007032415,0.0004225045,0.0001985452,0.0116238,0.3451408],"genre_scores_gemma":[0.5626355,0.002012779,0.1246803,0.04789827,0.003742559,0.000538882,0.0005962627,0.006109126,0.2517864],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.03221189,"threshold_uncertainty_score":0.1562015,"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."}}