{"id":"W4237906213","doi":"10.1017/s1431927608080574","title":"Scientific Program","year":2008,"lang":"en","type":"article","venue":"Microscopy and Microanalysis","topic":"Genetics, Bioinformatics, and Biomedical Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Doug Bragg Enterprises (Canada)","funders":"","keywords":"Materials science","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":[],"consensus_categories":[],"category_scores_codex":[0.0002562381,0.0001424019,0.0001663733,0.0001252392,0.0003987048,0.0001070319,0.0002095313,0.0001310393,0.00004245171],"category_scores_gemma":[0.00007209586,0.0001202501,0.0001208884,0.000260314,0.0008419864,0.000004785471,0.0001764003,0.00008919744,0.00005156118],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000083435,"about_ca_system_score_gemma":0.0001007443,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002402733,"about_ca_topic_score_gemma":0.00003939052,"domain_scores_codex":[0.9988238,0.00003061061,0.0002360017,0.0003591038,0.0001878692,0.0003626028],"domain_scores_gemma":[0.999263,0.000006545165,0.00005153891,0.0003454577,0.0001432344,0.0001901748],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00002824277,0.000112669,0.004650922,0.00002731437,0.00009372284,0.00000445591,0.0001333974,7.042028e-7,0.9614544,0.000003315245,0.01330093,0.02018993],"study_design_scores_gemma":[0.0004038318,0.0002535572,0.002833096,0.000007530471,0.00004677627,0.00005290459,0.0001118337,0.0001080851,0.635368,0.00001971307,0.3605769,0.0002178046],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9958415,0.001999798,0.0009784207,0.0001462779,0.0001007212,0.0001737187,0.00002461569,0.00001800101,0.0007169508],"genre_scores_gemma":[0.9777141,0.001921741,0.01001142,0.0002161382,0.0001220467,0.00002015278,0.0002955257,0.00001454291,0.009684291],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.347276,"threshold_uncertainty_score":0.4903656,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01541878309586939,"score_gpt":0.2987310718858175,"score_spread":0.2833122887899481,"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."}}