{"id":"W4398384890","doi":"10.7910/dvn/k8nifv","title":"GBMI Toronto","year":2022,"lang":"en","type":"dataset","venue":"Harvard Dataverse","topic":"Data Analysis with R","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Geography","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":[0.0007954764,0.002730663,0.001715835,0.005844633,0.001988538,0.002310783,0.002842606,0.001538536,0.06926804],"category_scores_gemma":[0.005555568,0.0007406606,0.001569585,0.01097313,0.0005902593,0.000984838,0.001905203,0.001755161,0.07062212],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007797503,"about_ca_system_score_gemma":0.01923457,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.734312,"about_ca_topic_score_gemma":0.8596623,"domain_scores_codex":[0.9988187,0.0001214735,0.00008155074,0.0003265643,0.000350266,0.0003014152],"domain_scores_gemma":[0.9972702,0.0003232508,0.0001724257,0.0004999849,0.001368556,0.0003656237],"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":[0.00002580897,0.000005872794,0.0004356609,0.0001281812,0.00001830372,0.00001061036,0.00001473766,0.0002578548,0.00003398075,0.0002737309,0.9970797,0.001715613],"study_design_scores_gemma":[0.0001366913,0.00001632785,0.008157449,0.000291865,0.00007289014,0.00006920246,0.0001494775,0.001294489,0.0004169492,0.0011847,0.9881555,0.00005442118],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002439698,0.0001182664,0.0001044116,0.00006543266,0.00002389599,0.00001624722,0.9974009,0.0005988572,0.001428134],"genre_scores_gemma":[0.000809127,0.0001080779,0.0003594325,0.00003527668,0.000008005454,0.00006501189,0.996613,0.0001464544,0.001855617],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.930732,"threshold_uncertainty_score":0.5345054,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01266819821977557,"score_gpt":0.2423631455961429,"score_spread":0.2296949473763673,"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."}}