{"id":"W4237936247","doi":"10.3410/f.718426882.793495799","title":"Faculty Opinions recommendation of A high throughput screen identifies Nefopam as targeting cell proliferation in β-catenin driven neoplastic and reactive fibroproliferative disorders.","year":2014,"lang":"en","type":"dataset","venue":"Faculty Opinions – Post-Publication Peer Review of the Biomedical Literature","topic":"Cancer Treatment and Pharmacology","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Catenin; Cancer research; Cell growth; Throughput; Cell biology; Chemistry; Biology; Computer science; Wnt signaling pathway; Signal transduction; Biochemistry; Telecommunications","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":[0.001085074,0.001574872,0.001489802,0.002276045,0.0007173219,0.002241423,0.002123065,0.00244032,0.05817371],"category_scores_gemma":[0.006195843,0.0004986604,0.002124319,0.002590143,0.0002834018,0.0008775335,0.001113123,0.001453652,0.03446843],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001350684,"about_ca_system_score_gemma":0.003246489,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02077617,"about_ca_topic_score_gemma":0.05682195,"domain_scores_codex":[0.9991645,0.0001201924,0.00008374205,0.0002412078,0.0002660218,0.0001244208],"domain_scores_gemma":[0.9975809,0.0007844152,0.0003194622,0.0003268213,0.0006548221,0.00033364],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0004069288,0.00006659239,0.00418901,0.001551857,0.0002012357,0.00004980758,0.00001209471,0.0002873094,0.0007327893,0.0002474387,0.9868281,0.00542685],"study_design_scores_gemma":[0.00186809,0.0001751592,0.02648549,0.0007114456,0.0007744209,0.0002653589,0.00006309286,0.001630338,0.003165742,0.00123639,0.9635518,0.00007264908],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0007067419,0.0003132454,0.00009166139,0.000309254,0.00005037553,0.00003044279,0.9968187,0.0003600862,0.001319519],"genre_scores_gemma":[0.001870066,0.0002731752,0.0004510259,0.0003591492,0.00002462174,0.00008803587,0.9951164,0.000065673,0.001751944],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.05817371,"threshold_uncertainty_score":0.1946105,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01774118736611514,"score_gpt":0.3469871396183872,"score_spread":0.329245952252272,"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."}}