{"id":"W4398661082","doi":"10.7910/dvn/apacse/knysnz","title":"SER55 MSVS E-W 30K IRREGULAR.tab","year":2020,"lang":"en","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":"Mathematics","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":[0.0009638572,0.003757801,0.0024553,0.004025226,0.001113654,0.00371015,0.004246833,0.003355677,0.1911097],"category_scores_gemma":[0.005625478,0.001015582,0.001949262,0.006227463,0.0006384635,0.002626585,0.002363706,0.001958597,0.2944931],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001608512,"about_ca_system_score_gemma":0.002184048,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02183565,"about_ca_topic_score_gemma":0.03251984,"domain_scores_codex":[0.9989706,0.0001676306,0.00008994529,0.0003710533,0.0002008177,0.0002000693],"domain_scores_gemma":[0.9982902,0.000425816,0.0001320072,0.000499395,0.0004273605,0.0002252073],"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":[0.00005841294,0.00001037149,0.0002028061,0.000414744,0.00002436354,0.000009911736,0.000008674803,0.0001680559,0.0000966588,0.000259608,0.9978399,0.0009064918],"study_design_scores_gemma":[0.0003725129,0.00004045562,0.001872844,0.0003401111,0.00005146832,0.00007113719,0.00007210124,0.0007845628,0.0005950963,0.002082282,0.9936717,0.0000456541],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00009030931,0.0001046613,0.00004931779,0.00007136005,0.00004017779,0.000005907209,0.99799,0.0009189118,0.0007293241],"genre_scores_gemma":[0.0003175781,0.00006470767,0.0001311298,0.00006365176,0.00001196335,0.00002535221,0.9985334,0.0001968256,0.0006553173],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8088903,"threshold_uncertainty_score":0.6393256,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0215499105973429,"score_gpt":0.2480365742143,"score_spread":0.2264866636169571,"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."}}