{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0141887,0.002001435,0.002182354,0.003930168,0.00132741,0.006927305,0.004257582,0.002232145,0.1448545],"category_scores_gemma":[0.09489593,0.002220698,0.002364653,0.004066979,0.001733691,0.004139354,0.006195109,0.003615451,0.08962697],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001431977,"about_ca_system_score_gemma":0.007346522,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004221846,"about_ca_topic_score_gemma":0.007954262,"domain_scores_codex":[0.9903713,0.003610996,0.00120554,0.002037972,0.002153874,0.0006203622],"domain_scores_gemma":[0.9660982,0.0157667,0.001363751,0.01187894,0.003438722,0.001453681],"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":[0.002797942,0.0002212197,0.004037202,0.002787268,0.000534046,0.0002072287,0.0006334324,0.003860784,0.002765659,0.03157476,0.8751241,0.07545636],"study_design_scores_gemma":[0.001159293,0.0001854941,0.002603458,0.0005902538,0.0001924176,0.0002540039,0.0001525466,0.00968036,0.005518449,0.07243772,0.9070403,0.000185607],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.003562532,0.0007203757,0.1965826,0.002081704,0.0006881754,0.002061619,0.5775948,0.2028498,0.01385843],"genre_scores_gemma":[0.03774353,0.0006325351,0.3694199,0.002092453,0.0003173917,0.01053119,0.4673718,0.09502996,0.01686132],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1448545,"threshold_uncertainty_score":0.4845864,"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."}}