{"id":"W4220698445","doi":"10.5281/zenodo.6121688","title":"Alpha Heater Canada: Hoax or Legit- Cost, Benefits and Consumer Experiences 2021","year":2022,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"COVID-19 Digital Contact Tracing","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Hoax; Medicine","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0007925607,0.000434992,0.0002970995,0.0005882417,0.00554933,0.006776584,0.0006162114,0.002720626,0.5229403],"category_scores_gemma":[0.002172254,0.0003146521,0.0002828379,0.002412812,0.0009690648,0.002428595,0.001493584,0.002378484,0.1695243],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01547873,"about_ca_system_score_gemma":0.0187355,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.761483,"about_ca_topic_score_gemma":0.9405183,"domain_scores_codex":[0.9990762,0.00005490311,0.00001355698,0.00005673535,0.0005566652,0.0002418462],"domain_scores_gemma":[0.9976605,0.0001548976,0.00004467407,0.00007990916,0.001017211,0.001042719],"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":[0.000009593727,0.000009298443,0.0001394522,0.00001578339,5.050697e-7,0.00002484314,0.00008944652,0.000004348473,0.00004649461,0.0005514174,0.9902869,0.008821882],"study_design_scores_gemma":[0.000002719753,0.000003722223,0.001302821,0.00003652034,8.607826e-7,0.00002298251,0.0007122745,0.00001031768,0.00002662001,0.00007405564,0.9978002,0.00000692199],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.003132337,0.004312335,0.0001024214,0.0369858,0.001939968,0.0000606788,0.004655743,0.0003604594,0.9484503],"genre_scores_gemma":[0.00665188,0.002091527,0.0001234406,0.005813216,0.0001585026,0.00002039161,0.001147993,0.0001843379,0.9838088],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.5229403,"threshold_uncertainty_score":0.6804677,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04853228058447896,"score_gpt":0.2434475642568119,"score_spread":0.194915283672333,"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."}}