{"id":"W4386915474","doi":"10.59350/mhfe0-hsp95","title":"rOpenSci Vancouver Community Meetup: Transforming science through open data and software","year":2018,"lang":"en","type":"preprint","venue":"","topic":"Scientific Computing and Data Management","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Join (topology); Software; World Wide Web; Computer science; Open source software; Profit (economics); Operating system; Economics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["open_science"],"consensus_categories":[],"category_scores_codex":[0.01983385,0.0008487037,0.0007582858,0.00329952,0.009818825,0.0128702,0.002686798,0.002662206,0.04546262],"category_scores_gemma":[0.03150485,0.0008291684,0.0006195182,0.004653919,0.004552977,0.005569899,0.01437207,0.008500449,0.01820928],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009130985,"about_ca_system_score_gemma":0.0458913,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1811969,"about_ca_topic_score_gemma":0.3807976,"domain_scores_codex":[0.9865079,0.002759247,0.0002558728,0.0008713006,0.008260546,0.001345147],"domain_scores_gemma":[0.9408494,0.008546888,0.0009055948,0.006541166,0.01575567,0.02740128],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00007704743,0.00004888194,0.0008724445,0.0001274335,0.00001943429,0.0001719494,0.001425671,0.0001544941,0.000761115,0.00964766,0.9040858,0.08260807],"study_design_scores_gemma":[0.00002910287,0.00001608553,0.0008952795,0.0001151568,0.000005327001,0.00002782606,0.0008445046,0.0001644914,0.0003808686,0.00635126,0.9911417,0.0000283377],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.02207544,0.02128737,0.06817761,0.4060556,0.02969495,0.001293788,0.0143958,0.01686048,0.420159],"genre_scores_gemma":[0.0907651,0.01941044,0.1166906,0.03053379,0.004937006,0.001699538,0.02010977,0.0123277,0.7035261],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.9973132,"threshold_uncertainty_score":0.3602845,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4947247628206843,"score_gpt":0.491886542269086,"score_spread":0.002838220551598325,"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."}}