{"id":"W4398670046","doi":"10.7910/dvn/apacse/q134ai","title":"SER51 MSVS E-W 50K SMOOTH.tab","year":2020,"lang":"fi","type":"dataset","venue":"Harvard Dataverse","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Royal Military College of Canada","funders":"","keywords":"Art","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0009615073,0.004154943,0.002873143,0.004717483,0.001324983,0.003825539,0.00475545,0.003972579,0.207675],"category_scores_gemma":[0.005453328,0.001050344,0.002200519,0.006447709,0.0006704994,0.002508344,0.002391544,0.002125401,0.2907236],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001702757,"about_ca_system_score_gemma":0.002133851,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01925864,"about_ca_topic_score_gemma":0.02935039,"domain_scores_codex":[0.999019,0.000132212,0.00007545349,0.0003566845,0.0001900721,0.0002265061],"domain_scores_gemma":[0.9983848,0.0004398934,0.0001377071,0.0004770414,0.0003447202,0.0002158636],"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":[0.00007197304,0.00001229771,0.000262154,0.0005154939,0.00003167769,0.0000125393,0.000008486657,0.0001545932,0.0001321155,0.0002435866,0.997611,0.0009441709],"study_design_scores_gemma":[0.0005756192,0.00006024423,0.003099654,0.0004632744,0.00009677601,0.000114432,0.00007382721,0.0009155751,0.0008963853,0.002470303,0.9911675,0.00006655372],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00009250715,0.0001039128,0.00003922558,0.00006146399,0.00003073324,0.000005734483,0.9981465,0.00087916,0.0006406488],"genre_scores_gemma":[0.0003329015,0.00005941182,0.0001213758,0.00006054515,0.00001137887,0.00002925813,0.9986132,0.0001807641,0.0005910425],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.792325,"threshold_uncertainty_score":0.694742,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02472484268356382,"score_gpt":0.2521822306902173,"score_spread":0.2274573880066535,"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."}}