{"id":"W2301589638","doi":"","title":"Cell Imaging and Analysis Network (CIAN)—Multi-Platform Resources and Services","year":2011,"lang":"en","type":"article","venue":"Europe PMC (PubMed Central)","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":"Service (business); Computer science; Automation; Workstation; Data science; Engineering","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":[0.0004212907,0.0002020676,0.0002022602,0.0000908096,0.0001355279,0.0001000426,0.0002748348,0.0000952617,0.0000280312],"category_scores_gemma":[0.00004789667,0.0001675762,0.00007028849,0.0002919488,0.0002311799,0.00001267567,0.0003591303,0.0001324417,0.000009171336],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000008516587,"about_ca_system_score_gemma":0.00002597555,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006525617,"about_ca_topic_score_gemma":0.00008414894,"domain_scores_codex":[0.9981757,0.0000551737,0.0002929183,0.0003802299,0.0002160614,0.0008798862],"domain_scores_gemma":[0.9989775,0.00001282594,0.0001018491,0.0003151644,0.00007944208,0.0005131474],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002250708,0.0001847899,0.921872,0.0003183229,0.000543385,0.00003777999,0.00799172,0.00001438338,0.007338631,0.00002084711,0.002088328,0.05936474],"study_design_scores_gemma":[0.0009516722,0.0001355199,0.8747019,0.00002064383,0.0002599739,0.00001325077,0.0007711104,0.001638026,0.01210179,0.00003938285,0.1089212,0.0004455723],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9885772,0.005326557,0.0007635523,0.00008415716,0.0001436797,0.0002390749,0.0000261059,0.00002218101,0.004817418],"genre_scores_gemma":[0.98967,0.005229722,0.003428429,0.0003719344,0.0002607443,0.00001098379,0.00007850515,0.00002422467,0.0009254777],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1068329,"threshold_uncertainty_score":0.6833557,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01607114137879962,"score_gpt":0.2222366675329115,"score_spread":0.2061655261541119,"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."}}