{"id":"W2806368235","doi":"10.2172/1438619","title":"Quarterly Progress Report for Automated Particle Classifier Q2 FY18","year":2018,"lang":"en","type":"report","venue":"","topic":"Spectroscopy Techniques in Biomedical and Chemical Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Computer science; Classifier (UML); Engineering; Artificial intelligence; History; Archaeology","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":[],"consensus_categories":[],"category_scores_codex":[0.01637599,0.001537212,0.001300459,0.004802585,0.001583794,0.004349061,0.002336465,0.001770871,0.1010075],"category_scores_gemma":[0.02482553,0.0006025149,0.0007836863,0.002546762,0.0005835056,0.003472626,0.001934776,0.001558399,0.1176201],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002974071,"about_ca_system_score_gemma":0.00807685,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02967459,"about_ca_topic_score_gemma":0.01869332,"domain_scores_codex":[0.9893253,0.0008273096,0.0003683964,0.0008385758,0.008096501,0.0005439299],"domain_scores_gemma":[0.9615422,0.002983182,0.0005059745,0.002223741,0.03105264,0.001692249],"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":[0.0002971953,0.0002139305,0.001376379,0.0001569349,0.00003056269,0.00004436937,0.00004331379,0.001343475,0.002557446,0.002749446,0.7991052,0.1920817],"study_design_scores_gemma":[0.0001116144,0.0006089565,0.005226143,0.0001155984,0.00003937347,0.0001522844,0.0001385421,0.01031453,0.01553186,0.002006035,0.9657212,0.00003391736],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.04027513,0.01123675,0.2437547,0.02258869,0.03099963,0.00557486,0.2126878,0.03604266,0.3968398],"genre_scores_gemma":[0.04182918,0.004692035,0.1352519,0.001159674,0.00227508,0.001673641,0.2881128,0.004965172,0.5200405],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1010075,"threshold_uncertainty_score":0.3379039,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03516831528239583,"score_gpt":0.4188927503764004,"score_spread":0.3837244350940046,"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."}}