{"id":"W2776506588","doi":"10.17605/osf.io/xtukh","title":"PresQT Sept 18, 2017 Workshop","year":2017,"lang":"en","type":"article","venue":"OSF Preprints (OSF Preprints)","topic":"Data Analysis with R","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.003910726,0.001559583,0.001489101,0.002178282,0.002747148,0.008160913,0.002555825,0.002703905,0.7365232],"category_scores_gemma":[0.00457923,0.0006676583,0.001492501,0.0009786936,0.0005917146,0.002728922,0.007363877,0.002949927,0.6449636],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002486164,"about_ca_system_score_gemma":0.005252158,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003712911,"about_ca_topic_score_gemma":0.01249414,"domain_scores_codex":[0.9979572,0.0003131101,0.00008399955,0.0003932548,0.0007584958,0.0004938927],"domain_scores_gemma":[0.9942144,0.0002312848,0.0001563033,0.0005115697,0.001947282,0.002939162],"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":[0.0001902093,0.00004611163,0.0001177487,0.0001040411,0.000007523368,0.00006115664,0.00003011598,0.00007381861,0.0003416862,0.0008153567,0.9793164,0.01889568],"study_design_scores_gemma":[0.0000572578,0.0000677199,0.0006174723,0.00009132736,0.000006462836,0.00003051077,0.00007377789,0.0001224027,0.0002848505,0.0009540693,0.9976811,0.00001293095],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.005919954,0.007537469,0.01448089,0.04566688,0.155829,0.002509538,0.04852907,0.01278353,0.7067437],"genre_scores_gemma":[0.006294275,0.0009473594,0.001908459,0.001772429,0.006687813,0.0003689061,0.01204721,0.001837739,0.9681358],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.7365232,"threshold_uncertainty_score":0.3758177,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03411948240884841,"score_gpt":0.3009844870231003,"score_spread":0.2668650046142519,"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."}}