{"id":"W4214698386","doi":"10.1017/s1551929500051245","title":"Netnotes","year":2007,"lang":"en","type":"article","venue":"Microscopy Today","topic":"Nutrition, Health, and Society Studies","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Novo Nordisk Fonden; University of Alberta; Vanderbilt University","keywords":"Computer science","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"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":[0.0002969672,0.00008428762,0.0001072719,0.000003813968,0.0003851517,0.00002675333,0.0001021025,0.00007326989,0.0001983552],"category_scores_gemma":[0.00001797899,0.00003114234,0.00006758335,0.0001696497,0.00006324058,0.00004672566,0.00002538291,0.00007819338,0.00008369797],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002266109,"about_ca_system_score_gemma":0.000004643007,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003144127,"about_ca_topic_score_gemma":0.0009274947,"domain_scores_codex":[0.9992621,0.00001739919,0.0001433505,0.0001648529,0.00009466177,0.000317655],"domain_scores_gemma":[0.9996595,0.0001589477,0.0000325594,0.00003035129,0.00004406387,0.00007451238],"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":[0.00002180074,0.0001111543,0.05788607,0.00001252303,0.000009921533,0.000003324109,0.0003926451,1.012031e-7,0.8844463,0.0003223269,0.04086915,0.01592464],"study_design_scores_gemma":[0.0001402679,0.000199653,0.394873,0.000018293,0.000005178078,0.000003370585,0.0008632388,9.025309e-7,0.06376878,0.000753936,0.5391967,0.0001766502],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9925541,0.001062507,0.00002579323,0.002853774,0.0002282956,0.0001023365,0.00001728195,0.00007915613,0.003076777],"genre_scores_gemma":[0.9954484,0.0004733188,0.0006774298,0.001741127,0.0005210892,0.000003648718,0.00002322549,6.517828e-7,0.001111094],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8206776,"threshold_uncertainty_score":0.2962314,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01442905498793567,"score_gpt":0.267588438760155,"score_spread":0.2531593837722193,"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."}}