{"id":"W7004801766","doi":"","title":"Magnificat Sample","year":2010,"lang":"en","type":"article","venue":"SOURCE Sheridan's Institutional Repository (Sheridan College)","topic":"Cell Image Analysis Techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Sample (material); Large sample","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003290125,0.0003925034,0.0003023871,0.0001190183,0.0007930062,0.0001322857,0.000652481,0.0003810325,0.0001795023],"category_scores_gemma":[0.0003199759,0.0004072071,0.0003545175,0.0003055205,0.0007441466,0.00002785757,0.0002763878,0.0004655847,0.00005014458],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007114183,"about_ca_system_score_gemma":0.0004802644,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002139436,"about_ca_topic_score_gemma":0.0001483175,"domain_scores_codex":[0.9975904,0.00009268807,0.0005168087,0.0008665979,0.0004708713,0.0004626153],"domain_scores_gemma":[0.9980658,0.00004447304,0.0001864018,0.001146773,0.0002913856,0.0002651795],"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":[0.0001100112,0.0001762626,0.005529913,0.00002062242,0.0001125393,0.00007130145,0.00002928551,0.0001411491,0.9746434,0.00146883,0.01676085,0.0009358025],"study_design_scores_gemma":[0.0003300327,0.0001107068,0.002225283,0.00001035387,0.00004650686,0.0003132772,0.00007094603,0.0001836007,0.4137356,0.0001197985,0.5824366,0.0004172935],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9303711,0.0001974225,0.01233543,0.0001467964,0.0005748291,0.0003993956,0.00004003445,0.0002138486,0.05572115],"genre_scores_gemma":[0.973513,0.00002554464,0.01029295,0.0003714174,0.001296126,0.0001162541,0.0001848949,0.00006282444,0.01413698],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5656757,"threshold_uncertainty_score":0.999838,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004229604254398319,"score_gpt":0.2204653706373801,"score_spread":0.2162357663829818,"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."}}