{"id":"W7037578132","doi":"","title":"Episode 408 with Mike Kelly, Ken Wiebe & Gary Lawless","year":2022,"lang":"en","type":"other","venue":"Bulletin of Miscellaneous Information (Royal Gardens Kew)","topic":"Marine Biology and Ecology Research","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Las vegas; Insider; Performance art; Uncanny","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":[0.0003128194,0.0005199607,0.0002911737,0.0004938224,0.003028903,0.003170705,0.0006988848,0.001698689,0.7841273],"category_scores_gemma":[0.001550741,0.0003413757,0.0002289083,0.0006386001,0.0002955353,0.002196282,0.002770149,0.002093418,0.622955],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001187279,"about_ca_system_score_gemma":0.001447389,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02948059,"about_ca_topic_score_gemma":0.1070149,"domain_scores_codex":[0.9997666,0.00002635269,0.000006752702,0.00002807913,0.00008614876,0.00008593361],"domain_scores_gemma":[0.9992893,0.00005347248,0.00002180317,0.00003272893,0.0001758667,0.0004268845],"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":[0.000005309927,0.000003623021,0.00002658617,0.000005810641,1.326733e-7,0.00001147394,0.00002063331,0.000003159829,0.00001482581,0.0002150959,0.9965165,0.003176782],"study_design_scores_gemma":[0.00000154294,0.000001701011,0.0001344686,0.00001088167,1.825956e-7,0.00001062139,0.0001037762,0.00001016841,0.00001312745,0.00009662299,0.9996158,0.000001036224],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0004075218,0.0003594876,0.000188465,0.004319995,0.002725445,0.00005692364,0.002278134,0.0005147038,0.9891494],"genre_scores_gemma":[0.001310924,0.0001209863,0.00004610381,0.001013572,0.0002238221,0.00001663042,0.0005549018,0.0002131443,0.9965],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.7841273,"threshold_uncertainty_score":0.3079162,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007652757001403391,"score_gpt":0.1837954305764433,"score_spread":0.1761426735750399,"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."}}