{"id":"W4248138266","doi":"10.3410/f.13490970.14868074","title":"Faculty Opinions recommendation of Artificially induced protein-membrane anchorage with cholesterol-based recognition agents as a new therapeutic concept.","year":2012,"lang":"en","type":"dataset","venue":"Faculty Opinions – Post-Publication Peer Review of the Biomedical Literature","topic":"Computational Drug Discovery Methods","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicine; Library science; Political science; 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":[0.001898829,0.001871902,0.001515807,0.003773084,0.001037141,0.002931562,0.003414442,0.003389205,0.07857168],"category_scores_gemma":[0.01003745,0.0004941631,0.002065181,0.004724897,0.0004291796,0.001649686,0.001718796,0.002035238,0.07397626],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002230315,"about_ca_system_score_gemma":0.0041595,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02954636,"about_ca_topic_score_gemma":0.07789297,"domain_scores_codex":[0.9981222,0.0002941162,0.0002142022,0.0004736844,0.0006604174,0.0002354658],"domain_scores_gemma":[0.9954966,0.0009592692,0.0005836172,0.000916626,0.001497437,0.0005464487],"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":[0.0001724351,0.00005661085,0.00157705,0.00110172,0.00005570337,0.00002842015,0.000009001425,0.0001914503,0.0002439794,0.0003186583,0.9885423,0.007702718],"study_design_scores_gemma":[0.0003256226,0.0000642934,0.004763712,0.0005716473,0.0001390988,0.00009000811,0.000067334,0.001394097,0.001420559,0.0009987655,0.9901301,0.00003484099],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0005626,0.0005265675,0.0002114322,0.00060126,0.0002432698,0.00007614377,0.993755,0.0004776088,0.0035461],"genre_scores_gemma":[0.001804413,0.0003389563,0.001120748,0.0002936377,0.00005105125,0.0001127358,0.9922809,0.00007246227,0.00392494],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.07857168,"threshold_uncertainty_score":0.2628484,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07506075607039149,"score_gpt":0.3781314860843785,"score_spread":0.303070730013987,"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."}}