{"id":"W92336766","doi":"10.1242/jcs.01031","title":"Zena Werb","year":2004,"lang":"en","type":"article","venue":"Journal of Cell Science","topic":"Medical and Biological Sciences","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Library science; Extracellular matrix; Biology; Cell biology; Computer science","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009618088,0.0009359051,0.0007242606,0.001413601,0.001518891,0.002261898,0.0005686643,0.001643977,0.1394879],"category_scores_gemma":[0.002637104,0.0003047702,0.000318261,0.000585531,0.0006854217,0.001529054,0.001941797,0.002470531,0.09295381],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001470714,"about_ca_system_score_gemma":0.00251769,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001921789,"about_ca_topic_score_gemma":0.002979486,"domain_scores_codex":[0.9988999,0.0001265592,0.00005864707,0.000303932,0.0004416034,0.0001691551],"domain_scores_gemma":[0.9990785,0.0001321679,0.00005335435,0.00004640008,0.00028326,0.0004063003],"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":[0.0001531551,0.00008221142,0.001159297,0.0003077607,0.00001851759,0.001021818,0.0002779477,0.0002073753,0.00166873,0.0157336,0.7064329,0.2729366],"study_design_scores_gemma":[0.000006029812,0.0000149641,0.0003560148,0.00008753479,0.000004504683,0.001130261,0.00008382266,0.00006798998,0.0004321884,0.001311854,0.9964941,0.00001064264],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.01344363,0.1520626,0.01301561,0.1681391,0.0658385,0.0002477209,0.003473762,0.002682832,0.5810961],"genre_scores_gemma":[0.05291722,0.06007427,0.005102459,0.02629053,0.005557944,0.0002057017,0.001595095,0.0008821561,0.8473746],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1394879,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02433135253991906,"score_gpt":0.2903912091389231,"score_spread":0.266059856599004,"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."}}