{"id":"W4398302923","doi":"10.7910/dvn/6me9uj/gioqnb","title":"Sept2017PatentCharacteristics_wForwCit.tab","year":2020,"lang":"en","type":"dataset","venue":"Harvard Dataverse","topic":"Research Data Management Practices","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Replication (statistics); Computer science; Biology; Virology","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":[0.001273584,0.002183989,0.001336143,0.005702037,0.001003748,0.00442998,0.002511676,0.001894784,0.2270345],"category_scores_gemma":[0.007272007,0.0009180698,0.001193589,0.008596634,0.0005320637,0.002118724,0.002823558,0.001575651,0.2834308],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001902544,"about_ca_system_score_gemma":0.002597315,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02245755,"about_ca_topic_score_gemma":0.03320887,"domain_scores_codex":[0.9989259,0.0001330017,0.0001393339,0.000296548,0.0002580139,0.0002472254],"domain_scores_gemma":[0.9971454,0.0005755855,0.0002140875,0.0008755873,0.0007311551,0.0004582314],"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":[0.00002624208,0.0000065243,0.0002581771,0.0002016408,0.000007289393,0.000006717564,0.00001359048,0.00005997741,0.00005501869,0.0003878784,0.9976614,0.001315525],"study_design_scores_gemma":[0.0001233093,0.000009894218,0.001522123,0.0001796968,0.000009395967,0.00002481672,0.00005636247,0.000193152,0.0002408665,0.0009073866,0.9967168,0.00001621209],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005316038,0.00002772251,0.00004163964,0.00006163125,0.00003554637,0.000007163639,0.998072,0.0005623446,0.001138741],"genre_scores_gemma":[0.0002672974,0.00004370798,0.000170438,0.00005185251,0.00001093871,0.00003760559,0.9979959,0.0002118899,0.001210415],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2270345,"threshold_uncertainty_score":0.7595062,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0700853743912571,"score_gpt":0.3110177565982769,"score_spread":0.2409323822070197,"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."}}