{"id":"W2156782500","doi":"10.1128/jmbe.v13i1.374","title":"Increasing Student Understanding of Microscope Optics by Building and Testing the Limits of Simple, Hand-Made Model Microscopes","year":2012,"lang":"en","type":"article","venue":"Journal of Microbiology and Biology Education","topic":"Image Processing Techniques and Applications","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Microscope; Computer science; Magnification; Optics; Artificial intelligence; Physics","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":[0.003268522,0.0010859,0.0006440516,0.0006111638,0.0004076023,0.002478789,0.001900224,0.0009696064,0.006030638],"category_scores_gemma":[0.01954312,0.000397896,0.0006639826,0.0002697169,0.0008622125,0.002595385,0.002271485,0.001660003,0.001107426],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008247537,"about_ca_system_score_gemma":0.001009172,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006797023,"about_ca_topic_score_gemma":0.0007661938,"domain_scores_codex":[0.997493,0.0004829565,0.0002194033,0.0005084829,0.001001437,0.0002947468],"domain_scores_gemma":[0.9856818,0.007740571,0.001513493,0.001498146,0.002433027,0.001132989],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.004192493,0.03365053,0.07342797,0.002508686,0.0001330939,0.000594623,0.02074333,0.02302767,0.3551227,0.006589059,0.006072592,0.4739373],"study_design_scores_gemma":[0.001068665,0.08956326,0.1698636,0.001239213,0.0006361687,0.001392029,0.01123361,0.07943152,0.5548014,0.01671609,0.07345885,0.0005955769],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.982268,0.0001171894,0.01189082,0.0002747526,0.00003138953,0.0004426623,0.00009535841,0.0002559145,0.004624031],"genre_scores_gemma":[0.92584,0.0004933051,0.06615822,0.000244952,0.00001893882,0.000775089,0.0002297519,0.0000866904,0.006152948],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.006030638,"threshold_uncertainty_score":0.0201745,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05073602448409528,"score_gpt":0.3324018633640871,"score_spread":0.2816658388799919,"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."}}