{"id":"W4231303741","doi":"10.3410/f.1120046.576598","title":"Faculty Opinions recommendation of Essential roles of PI(3)K-p110beta in cell growth, metabolism and tumorigenesis.","year":2008,"lang":"en","type":"dataset","venue":"Faculty Opinions – Post-Publication Peer Review of the Biomedical Literature","topic":"Cancer, Hypoxia, and Metabolism","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Health Sciences Centre; Sunnybrook Health Science Centre","funders":"","keywords":"Pi; Carcinogenesis; Cell metabolism; Metabolism; Cell growth; Cell; Cell biology; Chemistry; Computational biology; Biology; Biochemistry; Cancer research; 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":[0.0009563823,0.002397941,0.00161854,0.003264041,0.0005633259,0.001932424,0.002382871,0.002074769,0.04741008],"category_scores_gemma":[0.005895365,0.0005915079,0.001470919,0.00447186,0.0002317286,0.0009787048,0.001152121,0.001580046,0.03899829],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001205708,"about_ca_system_score_gemma":0.002932461,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01955345,"about_ca_topic_score_gemma":0.04760744,"domain_scores_codex":[0.9991593,0.0001101215,0.00008600485,0.0002492286,0.0002779906,0.0001172774],"domain_scores_gemma":[0.9974747,0.0007832796,0.0003355697,0.000429339,0.0006042035,0.0003729568],"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":[0.0001747232,0.00004140268,0.00190966,0.0008950723,0.00008179372,0.00003667074,0.000008489508,0.0002911922,0.0002629699,0.0001792769,0.9913291,0.004789529],"study_design_scores_gemma":[0.0009480949,0.00005610751,0.02405585,0.0004134412,0.0002693322,0.0001785547,0.0000480787,0.002022913,0.00168436,0.001172485,0.9690979,0.00005293127],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000388299,0.0001393236,0.00006952145,0.0001245086,0.00002619228,0.00001080267,0.9981775,0.0003070073,0.0007568839],"genre_scores_gemma":[0.0008368699,0.0001065054,0.0002698677,0.00005574205,0.000009011337,0.00003672103,0.9976856,0.0000379592,0.0009617833],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.04741008,"threshold_uncertainty_score":0.1586025,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01411642941044118,"score_gpt":0.304127391304173,"score_spread":0.2900109618937319,"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."}}