{"id":"W6887658129","doi":"10.17605/osf.io/6wf7y","title":"ManyBabies 1: Data","year":2017,"lang":"en","type":"article","venue":"Open Science Framework","topic":"Data Analysis with R","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Identification (biology); Data set; Data collection; Work (physics); Process (computing)","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":["sts","scholarly_communication","open_science","insufficient_payload"],"consensus_categories":["scholarly_communication","open_science"],"category_scores_codex":[0.003459828,0.0001329767,0.0002074854,0.0001175113,0.002716629,0.01934608,0.1205515,0.00005445966,0.0001023508],"category_scores_gemma":[0.003652552,0.0001091217,0.00002428082,0.0007602404,0.001137987,0.01875289,0.05408455,0.0002338658,0.0009107178],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000366382,"about_ca_system_score_gemma":0.0004145579,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002944479,"about_ca_topic_score_gemma":0.00006288144,"domain_scores_codex":[0.9970412,0.00003287262,0.0002031241,0.001341407,0.0008752469,0.0005061061],"domain_scores_gemma":[0.9791021,0.0001019229,0.0002637364,0.02018505,0.0001257972,0.0002213927],"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":[0.000002695276,0.00006078224,0.01005489,0.000003193172,0.00001413604,0.00003682809,0.0003122705,0.00001064408,0.0002687659,0.7630957,0.01662483,0.2095153],"study_design_scores_gemma":[0.0004109634,0.00009064786,0.1718008,0.0002652087,0.00003433992,0.00004192452,0.0001628413,0.1550754,0.00241551,0.3260056,0.3424658,0.001230911],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.004207655,0.00005910703,0.8851569,0.0167151,0.001752604,0.0003554501,0.00003202194,0.0001176277,0.09160355],"genre_scores_gemma":[0.4861658,0.00001385531,0.511766,0.000865931,0.00008999067,0.000008196093,0.000004941981,0.000005507384,0.001079776],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.4819581,"threshold_uncertainty_score":0.9998672,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1351724198925703,"score_gpt":0.4283807848799098,"score_spread":0.2932083649873395,"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."}}