{"id":"W7051742807","doi":"","title":"Inside TENT","year":2022,"lang":"en","type":"article","venue":"SOURCE Sheridan's Institutional Repository (Sheridan College)","topic":"Plasma Diagnostics and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Natural (archaeology); Research council; Social innovation; Training (meteorology); Social impact; Engineering research","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.000175459,0.0003241321,0.0002732321,0.0001494298,0.001949581,0.00008869047,0.000503629,0.00008745822,0.000163215],"category_scores_gemma":[0.00003756757,0.0003803897,0.0001804698,0.0005811675,0.0002113593,0.0001686151,0.0002483223,0.0005480337,0.00009186488],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007653765,"about_ca_system_score_gemma":0.0003093512,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005414116,"about_ca_topic_score_gemma":0.0000101582,"domain_scores_codex":[0.9978869,0.00006376163,0.0004924018,0.0004343562,0.0006692077,0.0004534024],"domain_scores_gemma":[0.9989777,0.0001244545,0.00007770132,0.0005033599,0.00007844566,0.0002383576],"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":[0.00003629751,0.0002422181,0.001079532,0.00004850723,0.000149687,0.0003805339,0.0002213901,0.9256594,0.01817578,0.0269463,0.02570753,0.001352786],"study_design_scores_gemma":[0.000565371,0.00007594662,0.002367642,0.00002223958,0.00004169521,0.0007299404,0.0004598756,0.04419641,0.00887196,0.0004955794,0.9415776,0.0005957275],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8794442,0.0003263863,0.001955252,0.0002896605,0.001996912,0.0004897046,0.0002540915,0.0007840408,0.1144597],"genre_scores_gemma":[0.9936107,0.00001934494,0.001214071,0.0002381368,0.0004102541,0.000768226,0.00006938211,0.00007037104,0.003599507],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9158701,"threshold_uncertainty_score":0.9998648,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005781987974972244,"score_gpt":0.1749437397578788,"score_spread":0.1691617517829065,"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."}}