{"id":"W2002422668","doi":"10.1007/s12079-008-0025-3","title":"The Starbuck stops here: it’s a Smad world","year":2008,"lang":"en","type":"article","venue":"Journal of Cell Communication and Signaling","topic":"Connective Tissue Growth Factor Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"SMAD; Computer science; Medicine; Transforming growth factor; Internal medicine","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":[0.002401507,0.0005408326,0.001015957,0.0004946525,0.002873189,0.003181339,0.001303621,0.006198172,0.004428086],"category_scores_gemma":[0.00354125,0.0002648467,0.0008138524,0.0002812605,0.005987489,0.005066232,0.001740713,0.01320089,0.001619388],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001407027,"about_ca_system_score_gemma":0.001720309,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002265795,"about_ca_topic_score_gemma":0.005497454,"domain_scores_codex":[0.9989067,0.0003049689,0.00007904729,0.0002205401,0.000331777,0.0001568792],"domain_scores_gemma":[0.9979947,0.0008960459,0.0001572472,0.0001127625,0.0004872539,0.0003519452],"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":[0.0008645721,0.00006013835,0.001683603,0.001808658,0.0001958448,0.007485702,0.006333306,0.0002850644,0.03075999,0.1861568,0.6461356,0.1182306],"study_design_scores_gemma":[0.00002418649,0.0001134369,0.0005570082,0.0003177719,0.00003770381,0.001971003,0.003074691,0.00009195891,0.002504952,0.03160269,0.9596474,0.00005709565],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.004253887,0.09649954,0.003957841,0.8204832,0.06213135,0.00002236516,0.00007010579,0.00009448558,0.01248725],"genre_scores_gemma":[0.1019633,0.1787245,0.004970946,0.5672172,0.06325031,0.00008124715,0.0001639617,0.0002899744,0.0833386],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006198172,"threshold_uncertainty_score":0.01481342,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03802155530217545,"score_gpt":0.2938405450814806,"score_spread":0.2558189897793051,"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."}}