{"id":"W7001312752","doi":"","title":"Jerad Neeve, Neeves Knives - The Knife Junkie Podcast (Episode 393)","year":2023,"lang":"en","type":"other","venue":"Internet Archive (Internet Archive)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Shot (pellet); Wife; Quarter (Canadian coin); Perspective (graphical); Channel (broadcasting)","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":[],"category_scores_codex":[0.0005759016,0.0005628668,0.0003069215,0.0006782761,0.008453856,0.006876967,0.0006522782,0.002694448,0.1851152],"category_scores_gemma":[0.00295985,0.0003700309,0.0002472244,0.0006061026,0.001181307,0.00442603,0.00469502,0.00457786,0.05966145],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002134583,"about_ca_system_score_gemma":0.001617531,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02153995,"about_ca_topic_score_gemma":0.08598862,"domain_scores_codex":[0.9992828,0.00008644655,0.00001780988,0.0001138562,0.0002443705,0.0002547959],"domain_scores_gemma":[0.9994093,0.00005552384,0.00002890934,0.00003178229,0.0001231488,0.0003511883],"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":[0.00001329595,0.00001224382,0.0001760143,0.00003912383,0.000001277382,0.0001608001,0.001786366,0.000009440153,0.0001063261,0.004819651,0.9847454,0.008130074],"study_design_scores_gemma":[0.00000129283,0.000003327679,0.0002224482,0.00003339122,4.204155e-7,0.00007862356,0.001482449,0.000004301222,0.00003663455,0.0001828368,0.9979517,0.000002652788],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.007746008,0.008371631,0.0006355825,0.03921998,0.01987318,0.0001156732,0.002060657,0.0006549912,0.9213223],"genre_scores_gemma":[0.02129328,0.001748576,0.0002308414,0.006178347,0.001133617,0.00005031278,0.0008596301,0.0005527041,0.9679528],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.8148848,"threshold_uncertainty_score":0.6192721,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01834717143290458,"score_gpt":0.2543113153306175,"score_spread":0.2359641438977129,"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."}}