{"id":"W7059121734","doi":"","title":"Japanese KitKats","year":2022,"lang":"en","type":"other","venue":"Bulletin of Miscellaneous Information (Royal Gardens Kew)","topic":"Magnetic Field Sensors Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Period (music); Quarter (Canadian coin); Table (database); Shot (pellet)","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":[0.000569881,0.001370747,0.0007247619,0.001131503,0.007865975,0.004648935,0.001077437,0.001485337,0.6034234],"category_scores_gemma":[0.001184376,0.00053219,0.0005519607,0.001338599,0.0009717456,0.002991209,0.004092022,0.002279517,0.360981],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002124199,"about_ca_system_score_gemma":0.002248409,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02125661,"about_ca_topic_score_gemma":0.1061887,"domain_scores_codex":[0.9994878,0.0000695975,0.00002509451,0.000118529,0.000124744,0.0001741786],"domain_scores_gemma":[0.9993513,0.00003513892,0.00002457496,0.00005972955,0.0002158619,0.000313387],"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":[0.0001301754,0.00005585285,0.0008740864,0.0002418045,0.000007049941,0.0005155207,0.003086178,0.00005227087,0.0007613596,0.009869498,0.9244859,0.05992027],"study_design_scores_gemma":[0.000003903014,0.00001188705,0.0007916786,0.0000582579,0.000002882874,0.0001129629,0.001962218,0.00002093308,0.00009418273,0.0002575794,0.9966758,0.000007700974],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00548202,0.00110309,0.001235706,0.003516251,0.004256096,0.0001339592,0.002442573,0.001026818,0.9808034],"genre_scores_gemma":[0.007706224,0.0004027504,0.0005140753,0.0007834315,0.0001334718,0.00003693074,0.001029105,0.0004403034,0.9889536],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.3965766,"threshold_uncertainty_score":0.5656685,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004068938296373517,"score_gpt":0.1671464001881706,"score_spread":0.1630774618917971,"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."}}