{"id":"W7096498917","doi":"","title":"Molecular Medicine, United","year":2007,"lang":"en","type":"article","venue":"","topic":"Solidification and crystal growth phenomena","field":"Materials Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Data collection; Public health; Agency (philosophy); Government (linguistics)","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003723814,0.00004774343,0.00005316938,0.00008218901,0.00003369895,0.000008671999,0.0001123044,0.00002091733,0.003195313],"category_scores_gemma":[0.00004110193,0.0000350607,0.00001016734,0.0002594227,0.00006570452,0.00003507267,0.00001513871,0.00002428575,0.0004236807],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001201905,"about_ca_system_score_gemma":0.000005910209,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002936083,"about_ca_topic_score_gemma":0.000002678884,"domain_scores_codex":[0.9994631,0.00001357222,0.0001313204,0.0001051359,0.0001423665,0.000144548],"domain_scores_gemma":[0.9996623,0.00003291347,0.00002515779,0.0001521989,0.00004630562,0.0000811469],"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":[0.000004098071,0.000008405269,0.0000458919,0.000001996799,6.488158e-7,0.000004292322,0.0001102509,0.000003091556,0.8884754,0.1104576,0.0006715357,0.0002167217],"study_design_scores_gemma":[0.0003975611,0.0000538674,0.003369523,0.00000706822,0.0000059539,0.000008797388,0.001068319,0.00006800015,0.9169511,0.004209309,0.07371376,0.0001467484],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6872264,0.00002765312,0.03718165,0.0006119423,0.0001272475,0.00004830257,4.008701e-7,0.0001208927,0.2746555],"genre_scores_gemma":[0.995684,0.000001132165,0.0006980145,0.002303625,0.00004671562,0.00000162275,0.000004056178,0.000005130936,0.00125575],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3084575,"threshold_uncertainty_score":0.9977159,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02198865966927161,"score_gpt":0.2813808806752908,"score_spread":0.2593922210060192,"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."}}