{"id":"W4311897363","doi":"10.1149/2.f12224if","title":"Tech Highlights - Winter 2022","year":2022,"lang":"en","type":"article","venue":"The Electrochemical Society Interface","topic":"Advanced Sensor and Energy Harvesting Materials","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Abbott (Canada)","funders":"","keywords":"Environmental science","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001242247,0.0001567825,0.0001453154,0.000008266161,0.0002394764,0.00002549605,0.0003985787,0.00004252484,0.0006926573],"category_scores_gemma":[0.0000121069,0.000122662,0.0001242562,0.0001705032,0.00005263078,0.00004689392,0.0001596284,0.0004488683,0.00003417445],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002104291,"about_ca_system_score_gemma":0.000004892467,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003848624,"about_ca_topic_score_gemma":5.152849e-7,"domain_scores_codex":[0.9990851,0.00003137541,0.0001669787,0.0001672386,0.0001820561,0.0003672627],"domain_scores_gemma":[0.9996119,0.00006870955,0.00002422489,0.0002380396,0.00001383229,0.00004326446],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00001196052,0.00001126584,0.000001495347,0.00000842503,0.00004741494,5.20406e-7,0.0003672796,0.004743319,0.9769106,0.0001833136,0.01762711,0.00008729929],"study_design_scores_gemma":[0.0001154046,0.00003449111,0.00000305793,0.000003810961,0.00001115406,0.0000267784,0.0001582519,0.002568106,0.9087886,0.0008155872,0.0873087,0.0001660356],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9309678,0.00140634,0.05821021,0.001491597,0.0009326394,0.0002188983,0.00001776055,0.001471283,0.005283444],"genre_scores_gemma":[0.9969305,0.00005707328,0.0006418249,0.0002738057,0.0001577045,0.00006790876,0.00001176126,0.00004390277,0.001815516],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06968159,"threshold_uncertainty_score":0.7584112,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006372766147617289,"score_gpt":0.2123703314599301,"score_spread":0.2059975653123128,"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."}}