{"id":"W3096856647","doi":"10.17504/protocols.io.bks6kwhe","title":"LooK SPOT Antigen Rapid Test System v1","year":2020,"lang":"en","type":"preprint","venue":"","topic":"COVID-19 diagnosis using AI","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Laipac Technology (Canada)","funders":"","keywords":"Antigen; Sample (material); Upload; Computer science; Virology; Biology; Chromatography; Chemistry; Immunology; Operating system","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":[],"consensus_categories":[],"category_scores_codex":[0.001864641,0.001990172,0.001928603,0.002253459,0.0004476234,0.001585366,0.002437232,0.002226138,0.08654317],"category_scores_gemma":[0.004959696,0.001182565,0.00107803,0.000778066,0.0003998154,0.001027005,0.001365976,0.001218583,0.06218415],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005357935,"about_ca_system_score_gemma":0.001081872,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001432878,"about_ca_topic_score_gemma":0.001201246,"domain_scores_codex":[0.9967123,0.0005779378,0.0001739128,0.0006428789,0.001653248,0.0002396983],"domain_scores_gemma":[0.9981054,0.000544861,0.0001622218,0.0001641916,0.000871908,0.0001514738],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.005606505,0.0007021421,0.01597571,0.002587678,0.0002077692,0.001117771,0.0002417212,0.000931556,0.08727006,0.002730079,0.570625,0.312004],"study_design_scores_gemma":[0.001317713,0.004445047,0.02395145,0.001358325,0.0004459464,0.01193201,0.000212558,0.01629216,0.1412361,0.003559427,0.7948654,0.0003839044],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1033574,0.03491625,0.2488533,0.007198396,0.007870529,0.01408428,0.1150135,0.2442355,0.2244708],"genre_scores_gemma":[0.2944818,0.009883872,0.1883358,0.01790262,0.002385019,0.01190671,0.1585946,0.0107649,0.3057447],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.08654317,"threshold_uncertainty_score":0.2895157,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05096708981471467,"score_gpt":0.3170901681841131,"score_spread":0.2661230783693985,"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."}}