{"id":"W7096929722","doi":"","title":"BY LIHONGZHAI","year":2014,"lang":"en","type":"article","venue":"","topic":"Genetics, Bioinformatics, and Biomedical Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Diffuser (optics); Work (physics); Scientific discovery","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":[],"consensus_categories":[],"category_scores_codex":[0.0002447622,0.00008708764,0.00007598814,0.0000218177,0.00004709492,0.00002708048,0.0002114626,0.0001201046,0.0001304001],"category_scores_gemma":[0.0002006895,0.00006724368,0.0000486537,0.00004517785,0.000109388,0.000001246392,0.0001190226,0.00005940768,0.000203879],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000003593234,"about_ca_system_score_gemma":0.00002608777,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001105414,"about_ca_topic_score_gemma":0.000009738162,"domain_scores_codex":[0.9992056,0.00002598793,0.0001497494,0.000160371,0.000197221,0.0002610831],"domain_scores_gemma":[0.9994827,0.00001033202,0.00002317821,0.0002559817,0.0000566503,0.00017117],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001989864,0.00006564007,0.0008061036,0.00002440195,0.00002287189,2.21328e-7,0.00001783023,0.000001163487,0.4351805,0.0002376015,0.4808833,0.08274047],"study_design_scores_gemma":[0.000273033,0.0002820937,0.0002664374,0.000002219141,0.000002299155,0.000002006851,0.00002786733,0.0004159372,0.210151,0.0001228871,0.7883415,0.0001127747],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5040268,0.0006424945,0.1346296,0.003538109,0.0006083915,0.0004383854,0.00004167645,0.00007941157,0.3559951],"genre_scores_gemma":[0.9743633,0.0002446838,0.002293215,0.001759203,0.000289576,0.000007583003,0.0001671524,0.00001226463,0.02086307],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4703365,"threshold_uncertainty_score":0.2742118,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008556192769729343,"score_gpt":0.2623476940824589,"score_spread":0.2537915013127296,"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."}}