{"id":"W4398845976","doi":"10.7910/dvn/qvtakg/ziu4e1","title":"wave 1+2.tab","year":2020,"lang":"en","type":"dataset","venue":"Harvard Dataverse","topic":"Material Properties and Failure Mechanisms","field":"Materials Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Computer science","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0002743533,0.0004302765,0.0005455838,0.00006636327,0.0001601901,0.0003795831,0.0009402452,0.0003121239,0.1955662],"category_scores_gemma":[0.0001567732,0.0003566533,0.0001139412,0.00009132757,0.0000965874,0.0002689568,0.001127997,0.0002864382,0.69315],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005572785,"about_ca_system_score_gemma":0.0001158948,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005501557,"about_ca_topic_score_gemma":0.00004475934,"domain_scores_codex":[0.9977354,0.0001222034,0.0004355308,0.0007564698,0.0004724509,0.0004778815],"domain_scores_gemma":[0.9980969,0.0000241086,0.0002362391,0.001332182,0.00005580271,0.0002547359],"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":[0.00008973021,0.00003112883,1.228975e-8,0.0002153397,0.00001365669,0.0002353332,0.00001609703,6.933349e-7,0.04800509,0.00006173266,0.9512813,0.00004987087],"study_design_scores_gemma":[0.0002740311,0.0001075745,2.121139e-7,0.00006377578,0.00008713385,0.00002467706,0.00003195169,0.00001535313,0.0134889,0.00005475796,0.9853962,0.0004554447],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00002222021,9.015501e-7,0.00008810456,0.00002459361,0.003697212,0.00031078,0.9955771,0.0001321796,0.0001469218],"genre_scores_gemma":[0.0000196446,0.0001180964,0.0009960822,0.001241562,0.001420945,0.0000335023,0.9958187,0.00003725091,0.0003142246],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.4975838,"threshold_uncertainty_score":0.9998885,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02477101201241548,"score_gpt":0.2136502398984029,"score_spread":0.1888792278859874,"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."}}