{"id":"W4398719269","doi":"10.7910/dvn/apacse/4wxelj","title":"SER42 MSVS W-E CRAWL SMOOTH.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; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001191946,0.005396717,0.00233932,0.007150036,0.001424577,0.003688368,0.003636712,0.002908034,0.06743363],"category_scores_gemma":[0.006687243,0.001120289,0.001819354,0.008321384,0.0007095815,0.00288871,0.002692907,0.001964671,0.1553231],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00160686,"about_ca_system_score_gemma":0.002761796,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03495327,"about_ca_topic_score_gemma":0.06356998,"domain_scores_codex":[0.9983211,0.0002590371,0.0001447689,0.0004983333,0.0004813835,0.0002953927],"domain_scores_gemma":[0.9973196,0.0005106759,0.0001463965,0.0008781984,0.0008258951,0.0003192463],"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":[0.00003619023,0.00001481487,0.0002272172,0.0002863264,0.00002261489,0.000009692099,0.00001225597,0.0001439344,0.000118106,0.0002080978,0.997624,0.001296641],"study_design_scores_gemma":[0.0003092608,0.00005318886,0.003376208,0.0002783248,0.00005457627,0.00009395956,0.0001153342,0.001976306,0.001148126,0.001892874,0.9906427,0.00005910108],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0003682566,0.0001848628,0.0001243023,0.0001141827,0.00008222811,0.00001664967,0.9929755,0.00460907,0.001525041],"genre_scores_gemma":[0.0004811496,0.0000637406,0.0002703853,0.00004817385,0.00001491417,0.00002953668,0.9977563,0.0004487612,0.0008871421],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.9325664,"threshold_uncertainty_score":0.225588,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02303444300769195,"score_gpt":0.2536557707936462,"score_spread":0.2306213277859543,"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."}}