{"id":"W4301185008","doi":"10.1109/lsens.2022.3208054","title":"IEEE Sensors Council Information","year":2022,"lang":"en","type":"article","venue":"IEEE Sensors Letters","topic":"Diverse Scientific and Economic Studies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"","keywords":"Computer science; Information retrieval","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002321033,0.001500027,0.001476499,0.003369069,0.001462581,0.00325385,0.002193723,0.002841647,0.5217608],"category_scores_gemma":[0.005779345,0.0009588982,0.0006610085,0.002636668,0.0005318878,0.002812864,0.002141808,0.002675191,0.417062],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001205594,"about_ca_system_score_gemma":0.002572788,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002683561,"about_ca_topic_score_gemma":0.005314652,"domain_scores_codex":[0.9977005,0.0003154107,0.0000896955,0.0002559079,0.001488863,0.0001496803],"domain_scores_gemma":[0.9961957,0.00052621,0.0001479068,0.0007836857,0.002086889,0.0002597464],"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":[0.0000722741,0.00004044922,0.00008818599,0.0002115526,0.000007196819,0.00002578913,0.0000166238,0.0003390354,0.00133146,0.0043293,0.8964968,0.09704126],"study_design_scores_gemma":[0.00001359046,0.00002487735,0.0001806047,0.00006504158,0.00000756113,0.0000452666,0.00001687753,0.0008741933,0.001506976,0.002340189,0.994911,0.00001391681],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0009086149,0.004559164,0.03619481,0.006806409,0.009354043,0.0006564876,0.01886952,0.006826941,0.9158239],"genre_scores_gemma":[0.00827103,0.004638504,0.009714203,0.002406224,0.001227867,0.0006898815,0.0227658,0.001892244,0.9483942],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.5217608,"threshold_uncertainty_score":0.6821502,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04853263111506043,"score_gpt":0.1827351657082875,"score_spread":0.1342025345932271,"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."}}