{"id":"W4255917440","doi":"10.1149/2.009201if","title":"Special Meeting Section · Montréal, Canada · May 10-14, 2020","year":2020,"lang":"en","type":"article","venue":"The Electrochemical Society Interface","topic":"Medical Research and Treatments","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Variety (cybernetics); Government (linguistics); Section (typography); Library science; Engineering ethics; State (computer science); Panel discussion; Political science; Special section; Engineering; Public relations; Computer science; Engineering physics; Business","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0009117525,0.00139191,0.0006830058,0.0009446203,0.001721183,0.003425693,0.001491369,0.003166306,0.5981573],"category_scores_gemma":[0.001322975,0.0004178952,0.0007002288,0.0006911004,0.0004879648,0.0008907978,0.001139994,0.00229925,0.34273],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003784339,"about_ca_system_score_gemma":0.008979236,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1296869,"about_ca_topic_score_gemma":0.3894263,"domain_scores_codex":[0.9993346,0.00003703177,0.00002269662,0.00009655557,0.000301401,0.0002075986],"domain_scores_gemma":[0.9977081,0.00006031527,0.0000502667,0.00004913478,0.001210002,0.0009220345],"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":[0.00004157349,0.00001821357,0.0001473281,0.00003847486,0.000002938081,0.00006634136,0.000004644458,0.00001902435,0.0001628753,0.0001511635,0.9876101,0.01173734],"study_design_scores_gemma":[0.000021271,0.00001864791,0.001159207,0.00004879692,0.000002990456,0.00004644664,0.00003034684,0.00004170607,0.00007501481,0.0000913312,0.9984589,0.000005421135],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00205602,0.007280225,0.001138769,0.02826628,0.1534026,0.001084571,0.0130031,0.001401346,0.792367],"genre_scores_gemma":[0.001746744,0.001339463,0.0001942907,0.001817404,0.004503862,0.00006791043,0.001645143,0.0001293696,0.9885558],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.5981573,"threshold_uncertainty_score":0.5731798,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01223217218249412,"score_gpt":0.2646685132982252,"score_spread":0.252436341115731,"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."}}