{"id":"W4384210632","doi":"10.23977/aetp.2023.070601","title":"Exploration on Laboratory Management","year":2023,"lang":"en","type":"article","venue":"Advances in Educational Technology and Psychology","topic":"Biomedical and Engineering Education","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Laboratory automation; Construction management; Engineering management; Technology management; Construction engineering; Computer science; Engineering; Knowledge management; Civil engineering; Automation; Mechanical engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006455358,0.00006247134,0.00005655513,0.0006221017,0.00002278537,0.000002334515,0.00006718803,0.0001018774,0.00002413693],"category_scores_gemma":[0.0000119379,0.00006475147,0.000005081663,0.0009888745,0.0000703663,0.00009801462,0.000007591719,0.0001238947,0.0001411735],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001722894,"about_ca_system_score_gemma":0.000004069107,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":9.471223e-8,"about_ca_topic_score_gemma":0.000001281271,"domain_scores_codex":[0.9996035,0.000005541502,0.00009451857,0.0001327688,0.00003868356,0.0001250084],"domain_scores_gemma":[0.9998247,0.00003425806,0.000008216552,0.0001048447,0.000008067376,0.00001989353],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001516077,0.0001656801,0.005813978,0.0002736971,0.0000282183,0.00000813328,0.0002939776,0.004646386,0.000636455,0.6670706,0.0273664,0.2936813],"study_design_scores_gemma":[0.0003198498,0.00005864256,0.06977648,0.00005480846,0.000003321233,0.000006713905,0.0002371991,0.0006292152,0.0001619509,0.4395264,0.4890322,0.0001931471],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8318241,0.01553226,0.007304784,0.08617664,0.0121261,0.0004999267,0.000021911,0.002543179,0.04397112],"genre_scores_gemma":[0.9858348,0.01209607,0.001171037,0.000311096,0.00008961754,0.0002352498,0.00003563541,0.00001165733,0.0002147981],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4616658,"threshold_uncertainty_score":0.2640488,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01015533919502932,"score_gpt":0.3070282166840401,"score_spread":0.2968728774890108,"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."}}