{"id":"W4398800035","doi":"10.7910/dvn/qczc4e/d5rykx","title":"metoo_project_dataset_2018_jan_mar_01.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":[0.001474705,0.001770333,0.001059799,0.004083039,0.0007042181,0.003155518,0.002391183,0.001820737,0.1152612],"category_scores_gemma":[0.01010514,0.0006774347,0.001122349,0.00727852,0.0004564653,0.001734474,0.002378695,0.001690908,0.140459],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001549559,"about_ca_system_score_gemma":0.002676397,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02938921,"about_ca_topic_score_gemma":0.04599335,"domain_scores_codex":[0.9988225,0.0002039662,0.0001235203,0.0003174771,0.0003020411,0.0002305031],"domain_scores_gemma":[0.9969579,0.0006953501,0.0003371043,0.000662612,0.0009799146,0.0003672424],"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":[0.00001914729,0.000006829155,0.0002877918,0.0001544693,0.0000124367,0.000005757035,0.000009110712,0.0001000769,0.00002145538,0.0003386672,0.9981453,0.0008988346],"study_design_scores_gemma":[0.000202472,0.00001252572,0.002443951,0.0001933615,0.00002169059,0.00002799005,0.00007736871,0.0004044177,0.000161674,0.001286766,0.9951475,0.00002037252],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00006513351,0.00003271722,0.00004196902,0.00008328693,0.00003003535,0.000006380592,0.9989821,0.0002386157,0.0005198537],"genre_scores_gemma":[0.00028102,0.00003918877,0.0001421031,0.00004452674,0.0000134402,0.00004898964,0.9983725,0.00006757734,0.0009906869],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8847388,"threshold_uncertainty_score":0.385587,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02653110755331026,"score_gpt":0.2422106943421819,"score_spread":0.2156795867888716,"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."}}