{"id":"W6958568548","doi":"10.6084/m9.figshare.c.5466809","title":"Supplementary material from \"Modelling the impact of travel restrictions on COVID-19 cases in Newfoundland and Labrador\"","year":2021,"lang":"en","type":"other","venue":"Figshare","topic":"History of Computing Technologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Travel time; Outbreak; Coronavirus disease 2019 (COVID-19); Air travel; Distancing; Public health; Social distance","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00003892653,0.0001863932,0.0002433567,0.0002509204,0.00007205582,0.00007970224,0.0007204415,0.0001597934,0.05146954],"category_scores_gemma":[0.0002005496,0.000144888,0.0000626824,0.0002253552,0.00002215009,0.00002935066,0.000316871,0.0001933616,0.000008349803],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002443333,"about_ca_system_score_gemma":0.0002889931,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05933363,"about_ca_topic_score_gemma":0.006015826,"domain_scores_codex":[0.9990711,0.00007456909,0.0001760532,0.0003556251,0.0001571914,0.0001654529],"domain_scores_gemma":[0.9988222,0.0003490976,0.0001680541,0.0005970558,0.00001420169,0.00004939808],"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":[0.000005100009,0.00002640368,0.00006916523,0.00005456032,0.00002961273,0.0001128993,0.0002557221,0.001576102,0.000006541528,0.00005932456,0.997379,0.0004255876],"study_design_scores_gemma":[0.00107102,0.0003990114,0.002722969,0.004890553,0.00002202532,0.00009331584,0.0001405483,0.02756345,0.00008413449,0.001074975,0.9611053,0.0008327298],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.003583642,0.001284147,0.00152394,0.0007500999,0.0004288403,0.0007075607,0.985263,0.0004055198,0.006053236],"genre_scores_gemma":[0.2847816,0.000451967,0.05588073,0.001400104,0.00245608,0.0005928344,0.6249356,0.001045643,0.02845543],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.3603274,"threshold_uncertainty_score":0.9493976,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07621475599645866,"score_gpt":0.3061348713622799,"score_spread":0.2299201153658212,"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."}}