{"id":"W6943965456","doi":"10.17605/osf.io/k6mnh","title":"Scripts","year":2018,"lang":"en","type":"article","venue":"Open Science Framework","topic":"Data Analysis with R","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Scripting language; Relation (database); Identification (biology); Window (computing); Term (time)","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":[],"consensus_categories":[],"category_scores_codex":[0.00746266,0.003261802,0.002250613,0.004695501,0.001769736,0.005607446,0.002366358,0.001143482,0.3211296],"category_scores_gemma":[0.04726059,0.001974735,0.001751588,0.00275281,0.001266006,0.001891308,0.002645217,0.003081925,0.1660968],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001799421,"about_ca_system_score_gemma":0.005528098,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00388472,"about_ca_topic_score_gemma":0.003274364,"domain_scores_codex":[0.9938187,0.001714379,0.001280918,0.001864402,0.000959456,0.0003620781],"domain_scores_gemma":[0.9630378,0.0211398,0.002135111,0.005476359,0.007020527,0.00119042],"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":[0.001807738,0.000317263,0.004118585,0.003750155,0.0002516929,0.000599949,0.001652684,0.001826264,0.01067406,0.01099976,0.826165,0.1378368],"study_design_scores_gemma":[0.0008897452,0.0001687245,0.005968965,0.001094748,0.0002163367,0.0006233744,0.0005630006,0.007927993,0.02662095,0.02787704,0.927775,0.0002742786],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"software","genre_scores_codex":[0.003981001,0.0004021293,0.1977508,0.0007567992,0.0004985621,0.005869994,0.44675,0.3235834,0.02040734],"genre_scores_gemma":[0.02164402,0.0005432573,0.3964889,0.002791247,0.0003755478,0.02714375,0.3083654,0.2039477,0.0387003],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.3211296,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03371103425824899,"score_gpt":0.3550783512180224,"score_spread":0.3213673169597734,"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."}}