{"id":"W4392378032","doi":"10.31428/10317/10825","title":"Quantitative evaluation of bias in barcode markers derived from complex samples","year":2024,"lang":"es","type":"article","venue":"","topic":"QR Code Applications and Technologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"Comunidad Autónoma de la Región de Murcia","keywords":"Barcode; Computer science; Artificial intelligence","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":[0.004983175,0.0009039384,0.0009735025,0.001636323,0.0004328513,0.001311532,0.0009543087,0.001367604,0.001159581],"category_scores_gemma":[0.01183253,0.0007029511,0.0004900657,0.001594978,0.001163969,0.0008460649,0.001016907,0.001197983,0.0007175937],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006929061,"about_ca_system_score_gemma":0.0003446082,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003328917,"about_ca_topic_score_gemma":0.0007652995,"domain_scores_codex":[0.9916322,0.001901928,0.0006768204,0.001645028,0.003753312,0.0003907797],"domain_scores_gemma":[0.9834372,0.007864994,0.003962584,0.001491274,0.00293505,0.0003088759],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001502374,0.00004966949,0.004018019,0.0003339994,0.00008795394,0.00004593694,0.0002267967,0.0005760693,0.9848573,0.0002852198,0.00004978117,0.009318893],"study_design_scores_gemma":[0.00001139985,0.0002904483,0.02120009,0.00006366774,0.0001075172,0.0002353733,0.0000887561,0.00928571,0.9660074,0.0005787774,0.002085239,0.00004563948],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6040184,0.004353486,0.387082,0.0001483274,0.0002240552,0.0004794911,0.000977909,0.001056879,0.001659337],"genre_scores_gemma":[0.697677,0.002105841,0.2927412,0.0004371948,0.00007052247,0.001132758,0.002408736,0.0006318953,0.002794852],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004983175,"threshold_uncertainty_score":0.02635384,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2464826948260579,"score_gpt":0.3788791363136436,"score_spread":0.1323964414875858,"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."}}