{"id":"W7065703363","doi":"","title":"[13.11.22]ENERGY Exchange ~ Flow Three(333)","year":2022,"lang":"en","type":"other","venue":"Bulletin of Miscellaneous Information (Royal Gardens Kew)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Flow (mathematics); Energy exchange; Energy (signal processing); Energy flow; Work (physics)","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":["insufficient_payload"],"category_scores_codex":[0.0007044617,0.001022497,0.0004952548,0.001540187,0.002755606,0.004357604,0.001259718,0.003933964,0.4680707],"category_scores_gemma":[0.001613673,0.0008736406,0.0005999134,0.003608253,0.0009203759,0.002976001,0.001475321,0.003425024,0.2296146],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008144538,"about_ca_system_score_gemma":0.004776815,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.4310344,"about_ca_topic_score_gemma":0.6639441,"domain_scores_codex":[0.9994084,0.0000714163,0.00002547879,0.00006626696,0.0002662324,0.0001622453],"domain_scores_gemma":[0.9995783,0.00004107169,0.00001590758,0.00004503433,0.0002547473,0.00006496604],"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":[0.00002210906,0.000006659585,0.00008324319,0.0000614944,0.000002183888,0.00003062077,0.0000939966,0.0000529611,0.00009627249,0.02918055,0.9621468,0.008222977],"study_design_scores_gemma":[0.000006215303,0.000004214663,0.000593347,0.0000485204,0.000001775986,0.00001604195,0.00004422655,0.00004040622,0.00008099341,0.001356495,0.9977983,0.000009523357],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0002433723,0.001176725,0.0006258176,0.003005681,0.0006752139,0.00006803549,0.009203077,0.0007112566,0.9842907],"genre_scores_gemma":[0.004089352,0.001169762,0.000602592,0.001043909,0.0001387764,0.00008892942,0.003208736,0.0006106757,0.9890472],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.5319294,"threshold_uncertainty_score":0.857051,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007114657053002082,"score_gpt":0.181712968925932,"score_spread":0.1745983118729299,"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."}}