{"id":"W7010833512","doi":"","title":"Knives with the Best Bang for the Buck Under $60 - The Knife Junkie Podcast (Episode 369)","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":"Loan; Fish <Actinopterygii>","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":[0.0004101967,0.0007153398,0.0003295709,0.0004514192,0.005413096,0.004578102,0.0006931981,0.001650986,0.6001471],"category_scores_gemma":[0.001626733,0.0004542867,0.0003536368,0.0005124823,0.0004584053,0.002679989,0.00390246,0.003186594,0.3288586],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001402965,"about_ca_system_score_gemma":0.0008478311,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01364058,"about_ca_topic_score_gemma":0.07855004,"domain_scores_codex":[0.99954,0.00004115214,0.000008668872,0.00004598499,0.0001429947,0.0002212662],"domain_scores_gemma":[0.9993938,0.00004061536,0.00002363087,0.00003542365,0.0001297614,0.0003767725],"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":[0.00002159439,0.00001582604,0.00009814725,0.0000256145,7.386898e-7,0.00006118023,0.0002736432,0.000006510046,0.00009653968,0.0009409367,0.9926187,0.005840462],"study_design_scores_gemma":[0.000002998138,0.000007217376,0.0005499882,0.00003110269,7.161752e-7,0.00004439693,0.0006983916,0.000008326549,0.00009821534,0.00009785492,0.998457,0.000003846837],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.003707133,0.0004933148,0.0004208024,0.004135436,0.004953483,0.0001233858,0.00349888,0.0009607648,0.9817069],"genre_scores_gemma":[0.008953272,0.0002551792,0.0002978486,0.0009657489,0.0004508987,0.00004922098,0.001857609,0.0006081826,0.9865621],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.3998529,"threshold_uncertainty_score":0.5703416,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009454425416315528,"score_gpt":0.1967833074528447,"score_spread":0.1873288820365291,"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."}}