{"id":"W2974263843","doi":"10.1016/j.media.2019.101560","title":"Special issue on MICCAI 2018","year":2019,"lang":"en","type":"editorial","venue":"Medical Image Analysis","topic":"Gene Regulatory Network Analysis","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Queen's University","funders":"Engineering and Physical Sciences Research Council","keywords":"Systems biology; Computer science; Gene regulatory network; Synthetic biology; Modelling biological systems; Computational biology; Key (lock); Data science; Artificial intelligence; Biology; Gene","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004934816,0.003763381,0.004708661,0.006836337,0.002984703,0.009783275,0.002933303,0.01088142,0.05653732],"category_scores_gemma":[0.01966068,0.001379577,0.002799018,0.002141642,0.002278753,0.002980649,0.002333067,0.01315274,0.03238561],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00428743,"about_ca_system_score_gemma":0.002197967,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002013735,"about_ca_topic_score_gemma":0.00768235,"domain_scores_codex":[0.9959314,0.0006202935,0.0004426076,0.0006275129,0.002002777,0.0003754258],"domain_scores_gemma":[0.9814553,0.004594258,0.001508427,0.0007474785,0.008064672,0.003629788],"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":[0.00003418413,0.000005203956,0.00002234292,0.00008055945,0.00001178028,0.00006781457,0.000002219628,0.00002094928,0.00003713906,0.000146773,0.9953081,0.004263022],"study_design_scores_gemma":[0.00007022582,0.0000214462,0.0004565911,0.0002507871,0.00004540086,0.0003580046,0.00001350791,0.0002754675,0.0001104618,0.001366933,0.9970106,0.0000205668],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.00004406591,0.005243497,0.0002549779,0.027335,0.9632329,0.00002259943,0.0001213665,0.0001220579,0.003623527],"genre_scores_gemma":[0.0004276571,0.002440576,0.0001967451,0.007819026,0.9694459,0.00003487047,0.0001029907,0.00009624612,0.01943583],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.05653732,"threshold_uncertainty_score":0.1891362,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003326088490802815,"score_gpt":0.2558565078153947,"score_spread":0.2525304193245919,"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."}}