{"id":"W4320914832","doi":"10.56530/lcgc.na.gv8576x7","title":"How Well Do You Pipette?","year":2023,"lang":"en","type":"article","venue":"LCGC North America","topic":"Crafts, Textile, and Design","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Middlesex London Health Unit","funders":"","keywords":"Pipette; Computer science; Chemistry","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00005542626,0.0001889435,0.0002272615,0.0001403381,0.0003400967,0.0004231007,0.0002221043,0.00002859052,0.003891556],"category_scores_gemma":[0.00002505974,0.0001625728,0.0001298035,0.0001764342,0.0002886686,0.0001940319,0.00005496102,0.0001429052,0.006182103],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001596255,"about_ca_system_score_gemma":0.00002708695,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001865391,"about_ca_topic_score_gemma":0.0005145137,"domain_scores_codex":[0.9988452,0.00003332496,0.0001412586,0.0003070749,0.0002434516,0.0004297564],"domain_scores_gemma":[0.9992977,0.00007853533,0.00008428173,0.0003612578,0.00006059192,0.0001176268],"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":[0.00003125511,0.00007602379,0.002582405,0.00003980985,0.00005765901,0.0001134326,0.01733901,0.00004445855,0.00002675979,0.007959464,0.8771892,0.09454049],"study_design_scores_gemma":[0.0001642788,0.00008856385,0.001217673,0.000006930269,0.000018263,0.0000015273,0.004086864,0.0001000241,0.000009828161,0.0004567819,0.993611,0.0002383092],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.261802,0.0006938343,0.0004190616,0.009480438,0.00307164,0.000606498,0.0002849159,0.002142732,0.7214989],"genre_scores_gemma":[0.8011912,0.0001541775,0.00005675008,0.001550269,0.001540661,0.00004014224,0.000115001,0.00004615566,0.1953057],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5393893,"threshold_uncertainty_score":0.997019,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02638789017083634,"score_gpt":0.2097557595694441,"score_spread":0.1833678693986077,"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."}}