{"id":"W4398572905","doi":"10.7910/dvn/8fhrcq/jifxso","title":"codebooks.tab","year":2018,"lang":"en","type":"dataset","venue":"Harvard Dataverse","topic":"Data Analysis with R","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Computer science; Computational biology; Biology","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","open_science","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0005806006,0.0005114567,0.0005966171,0.0004429217,0.000200009,0.0007312258,0.007821837,0.000321326,0.01059403],"category_scores_gemma":[0.0002587303,0.0004813476,0.0002013698,0.0004945547,0.0002024024,0.001268634,0.004065867,0.0004579432,0.4783813],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001085966,"about_ca_system_score_gemma":0.0003091377,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005617979,"about_ca_topic_score_gemma":0.0004614392,"domain_scores_codex":[0.9964874,0.0001634406,0.0005218228,0.001330196,0.0008783201,0.0006187614],"domain_scores_gemma":[0.9911393,0.0001024838,0.0003935455,0.007898349,0.0001693856,0.000296928],"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":[0.000005542483,0.00005670519,0.000001010433,0.00003851485,0.0001230342,0.0001817857,0.00001044071,6.987374e-7,0.000003791773,0.0002272744,0.9989186,0.0004326003],"study_design_scores_gemma":[0.0002674991,0.00005412473,0.000005459517,0.00005878339,0.0001466894,0.00003516557,0.00000312195,0.000687976,0.00002751875,0.0001127956,0.99805,0.0005508311],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[4.333587e-7,0.000001036424,0.011998,0.00001115289,0.00147176,0.000192548,0.9856835,0.0001885102,0.0004530353],"genre_scores_gemma":[6.004545e-7,0.0001155284,0.00910483,0.001198435,0.0007364869,0.00002415488,0.9879612,0.0000207552,0.0008380249],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.4677872,"threshold_uncertainty_score":0.9997638,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01567153574990945,"score_gpt":0.2446567666810626,"score_spread":0.2289852309311532,"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."}}