{"id":"W4363625486","doi":"10.1515/cclm-2023-7058","title":"Preanalytical phase","year":2023,"lang":"en","type":"article","venue":"Clinical Chemistry and Laboratory Medicine (CCLM)","topic":"Material Dynamics and Properties","field":"Materials Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba; University of Alberta","funders":"","keywords":"Medicine","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":[],"category_scores_codex":[0.001592821,0.0001568547,0.00038324,0.00001353133,0.0001076249,0.000036579,0.0001931354,0.0001679698,0.00284124],"category_scores_gemma":[0.001153422,0.0001102131,0.00003691835,0.0002252291,0.0006876498,0.00006862106,0.0001128931,0.0001919139,0.0002114022],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00000840526,"about_ca_system_score_gemma":0.00007500106,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006628011,"about_ca_topic_score_gemma":6.611829e-7,"domain_scores_codex":[0.9984676,0.00008878952,0.0005623228,0.0003990666,0.0002129781,0.0002692865],"domain_scores_gemma":[0.9988878,0.0002912356,0.00009638336,0.0003102576,0.0001059201,0.0003084377],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002554104,0.000129756,0.0008740952,0.0003493313,0.00002183808,0.0001002235,0.0001308819,0.000002983453,0.9647666,0.0003757262,0.031512,0.001481134],"study_design_scores_gemma":[0.01148948,0.001522556,0.003520992,0.0007154923,0.0003584871,0.00003549522,0.001074219,0.007234201,0.409543,0.004259933,0.5588567,0.001389544],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9935508,0.0002414296,0.0000193847,0.001634058,0.0006051651,0.00007258188,0.00007929323,0.0001787069,0.003618562],"genre_scores_gemma":[0.9948732,0.0003521497,0.00006038696,0.0006754306,0.001399907,0.00001227729,0.00005201271,0.00001883526,0.002555769],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5552236,"threshold_uncertainty_score":0.9980703,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05635178454470384,"score_gpt":0.3841765632545059,"score_spread":0.3278247787098021,"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."}}