{"id":"W4244066845","doi":"10.3410/f.734944110.793556861","title":"Faculty Opinions recommendation of Polarization of myosin II refines tissue material properties to buffer mechanical stress.","year":2019,"lang":"en","type":"dataset","venue":"Faculty Opinions – Post-Publication Peer Review of the Biomedical Literature","topic":"Health and Medical Research Impacts","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Buffer (optical fiber); Myosin; Stress (linguistics); Polarization (electrochemistry); Computer science; Materials science; Chemistry; Biophysics; Biology; Philosophy; Physical chemistry; 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":[0.001441598,0.003486292,0.00167644,0.002538135,0.0008390121,0.002503154,0.003215301,0.00368994,0.02918063],"category_scores_gemma":[0.005493477,0.0007753101,0.002679673,0.002426867,0.0004844425,0.001412742,0.001783145,0.001868468,0.05459936],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001497323,"about_ca_system_score_gemma":0.002132402,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0210924,"about_ca_topic_score_gemma":0.07145946,"domain_scores_codex":[0.9988828,0.0001618334,0.00008152502,0.0004034887,0.0003261016,0.0001441687],"domain_scores_gemma":[0.9985353,0.0003830959,0.0001492369,0.0003549238,0.0004155412,0.0001619037],"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":[0.0001787182,0.000074844,0.002447853,0.001374962,0.0001082616,0.00004021414,0.000018714,0.0008328707,0.001088471,0.0003765926,0.9847776,0.00868115],"study_design_scores_gemma":[0.0007731263,0.0001079091,0.01593229,0.000680816,0.0002652194,0.0002661647,0.0000939538,0.007471548,0.004734135,0.003838303,0.9657379,0.00009872054],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001536614,0.0009557912,0.0007425926,0.0004741746,0.000204879,0.00004337451,0.9904184,0.003019664,0.002604438],"genre_scores_gemma":[0.002632125,0.000305354,0.001846468,0.0002258358,0.00002889979,0.00007890359,0.9926695,0.0001870248,0.002025849],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.02918063,"threshold_uncertainty_score":0.09761888,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1143890147114073,"score_gpt":0.4317337278393162,"score_spread":0.3173447131279089,"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."}}