{"id":"W4309027751","doi":"10.1002/msid.1358","title":"Complete Issue","year":2022,"lang":"en","type":"article","venue":"Information Display","topic":"Advanced Sensor and Energy Harvesting Materials","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Citation; Computer science; Information retrieval; World Wide Web","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":[0.00004945225,0.00005123099,0.00005440281,0.00004259663,0.0001088159,0.00002631634,0.00006982072,0.000009217541,0.0009105791],"category_scores_gemma":[0.000008531372,0.00005462941,0.00001397101,0.0000718538,0.000006053344,0.0004232941,0.00002653416,0.00005156621,0.0003474618],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003312311,"about_ca_system_score_gemma":0.000002468198,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005460653,"about_ca_topic_score_gemma":3.93834e-7,"domain_scores_codex":[0.9996317,0.000007807159,0.0001449795,0.0000235236,0.00009601881,0.00009594444],"domain_scores_gemma":[0.9998539,0.0000121082,0.00001999302,0.00008126247,0.000008924774,0.0000237828],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000003235423,0.00000182943,0.00001864691,0.00002040801,0.000004718725,6.292573e-7,0.0004321542,0.9825534,0.00322267,0.002340629,0.008344311,0.003057366],"study_design_scores_gemma":[0.0001167013,0.000008404877,0.0003361008,0.000001589371,0.000001553025,0.00001024651,0.0001544397,0.02849418,0.0006944427,0.0001036216,0.9699914,0.00008724629],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.698815,0.00007149708,0.04046002,0.0002470222,0.004979909,0.0002924686,0.0007201478,0.00227351,0.2521404],"genre_scores_gemma":[0.9987295,0.00000357101,0.0004799631,0.00025582,0.00004710433,0.00003310719,0.0002245342,0.0000075813,0.0002188093],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9616472,"threshold_uncertainty_score":0.9970202,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009476022792022563,"score_gpt":0.2088172061382431,"score_spread":0.1993411833462205,"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."}}