{"id":"W6957926077","doi":"10.60692/q9tg8-x2614","title":"Ten Simple Rules for Cultivating Open Science and Collaborative R&D","year":2013,"lang":"en","type":"article","venue":"Greater South Information System","topic":"Open Source Software Innovations","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"The Scarborough Hospital; University of Toronto","funders":"","keywords":"Crowdsourcing; Open science; The Internet; Scalability; Open innovation; Process (computing); Citizen science; Analogy; Software","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":["open_science"],"consensus_categories":[],"category_scores_codex":[0.0757722,0.002430242,0.001772477,0.007536355,0.01445788,0.03707882,0.006352969,0.01737445,0.01290573],"category_scores_gemma":[0.09606544,0.001906537,0.002101135,0.006320929,0.07866453,0.04711758,0.02191639,0.01492909,0.005964599],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01414582,"about_ca_system_score_gemma":0.0227944,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00498401,"about_ca_topic_score_gemma":0.00685844,"domain_scores_codex":[0.9250741,0.03705519,0.006572318,0.01118569,0.0155969,0.004515848],"domain_scores_gemma":[0.908218,0.04346201,0.0106104,0.01253953,0.01279339,0.01237681],"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":[0.00002222232,0.00006299924,0.0008991284,0.0001305364,0.00001496166,0.00007928158,0.00181752,0.0004521287,0.0001052906,0.981143,0.005384999,0.009887862],"study_design_scores_gemma":[0.00004380814,0.00002119803,0.0003358867,0.0001955599,0.000009313433,0.00005644346,0.001066674,0.0009642658,0.000155424,0.9665917,0.030525,0.00003462314],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"methods","genre_scores_codex":[0.01357057,0.003162973,0.3768315,0.1531256,0.001971901,0.002574903,0.0003995273,0.00141196,0.4469511],"genre_scores_gemma":[0.5102871,0.003009343,0.4203485,0.01997967,0.001013875,0.006696622,0.0004762946,0.0007581586,0.03743045],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.993647,"threshold_uncertainty_score":0.4007264,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03432135614448007,"score_gpt":0.2590479462613159,"score_spread":0.2247265901168359,"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."}}