{"id":"W6894479351","doi":"10.5683/sp2/ilwoqw","title":"Muon event detection via Arduino hardware and Android software","year":2021,"lang":"en","type":"dataset","venue":"Borealis","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Android (operating system); Detector; Event (particle physics); Software; Arduino; Mobile device; Muon","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001054771,0.003911196,0.001975969,0.003459214,0.001041455,0.001777565,0.002935814,0.002440896,0.02776739],"category_scores_gemma":[0.003033098,0.0008126976,0.002034116,0.003148909,0.0005016316,0.001465329,0.002256346,0.00172558,0.08475317],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001196683,"about_ca_system_score_gemma":0.001199888,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02542588,"about_ca_topic_score_gemma":0.06298568,"domain_scores_codex":[0.9988438,0.0001495455,0.0001180815,0.0003622944,0.0003280349,0.0001982388],"domain_scores_gemma":[0.9985585,0.0002164438,0.0001063808,0.0005519379,0.0004638458,0.0001028369],"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":[0.000150921,0.00006084266,0.002410365,0.0007126152,0.00005862962,0.00008742463,0.00003658375,0.0006197151,0.0007358,0.0002655707,0.9822286,0.01263288],"study_design_scores_gemma":[0.0001924278,0.00008113055,0.01375116,0.0003107152,0.00007331827,0.0003101897,0.0001661991,0.002321505,0.003946312,0.002055451,0.9767007,0.00009095744],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0009314322,0.0001848811,0.0008103367,0.0001157248,0.0001073828,0.00005166763,0.9918006,0.004085527,0.001912385],"genre_scores_gemma":[0.001556601,0.0000741953,0.001471613,0.00005872769,0.00002074802,0.0001233292,0.9948855,0.0002520044,0.001557372],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.02776739,"threshold_uncertainty_score":0.09289116,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01190234744954295,"score_gpt":0.2500848953109747,"score_spread":0.2381825478614318,"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."}}