{"id":"W4399016680","doi":"10.7910/dvn/qczc4e/aug2nz","title":"metoo_project_dataset_2018_jan_mar_06.txt","year":2020,"lang":"en","type":"dataset","venue":"Harvard Dataverse","topic":"E-commerce and Technology Innovations","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Computer science; History; Archaeology","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":[0.001464429,0.001774308,0.001062019,0.004082637,0.0006990843,0.003183733,0.002383298,0.001807046,0.1158005],"category_scores_gemma":[0.009907348,0.0006796531,0.001127317,0.007336399,0.0004564392,0.001740851,0.002377998,0.001706108,0.1441274],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001529185,"about_ca_system_score_gemma":0.002649296,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02930559,"about_ca_topic_score_gemma":0.04587825,"domain_scores_codex":[0.9988362,0.0001993372,0.0001204109,0.0003150454,0.0002984896,0.0002305579],"domain_scores_gemma":[0.9970193,0.000667793,0.0003307083,0.0006540631,0.0009625565,0.0003656047],"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":[0.00001905151,0.000006716394,0.000286606,0.0001499589,0.00001229042,0.000005708224,0.00000890039,0.00009729441,0.00002129842,0.0003293148,0.9981632,0.0008996468],"study_design_scores_gemma":[0.0001999221,0.00001250126,0.00246035,0.0001913853,0.00002130665,0.00002813489,0.00007705752,0.0003957388,0.0001610848,0.001271541,0.9951608,0.00002021263],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00006497942,0.00003308818,0.00004178154,0.00008268422,0.00003055832,0.000006301773,0.9989682,0.0002424116,0.0005299437],"genre_scores_gemma":[0.0002778713,0.00003941944,0.000138838,0.00004402596,0.00001361616,0.00004804289,0.9983565,0.0000677076,0.001013838],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8841995,"threshold_uncertainty_score":0.3873913,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02656978386213765,"score_gpt":0.24225504137421,"score_spread":0.2156852575120723,"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."}}