{"id":"W7018844863","doi":"","title":"Episode 246: Recapping the Canadian Futures Showcase &amp; Reconnecting with Scott Gillespie","year":2023,"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":"League; Futures contract; White (mutation); Performance art; Product (mathematics); Virginia tech","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":[],"consensus_categories":[],"category_scores_codex":[0.0004178757,0.0006980065,0.0002849906,0.0007639803,0.01113619,0.004352138,0.001197996,0.002038707,0.2950409],"category_scores_gemma":[0.001772068,0.0003693019,0.0002399622,0.001051057,0.0009977291,0.001219083,0.002432182,0.002988921,0.07132076],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01190506,"about_ca_system_score_gemma":0.008787757,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8629745,"about_ca_topic_score_gemma":0.9659703,"domain_scores_codex":[0.9993126,0.00003418255,0.000005797733,0.00004339182,0.0003236315,0.0002803363],"domain_scores_gemma":[0.9989974,0.00004837344,0.0000211561,0.00003462333,0.0003807211,0.0005177446],"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":[0.00001092978,0.000006302304,0.0001666866,0.00001181204,7.219321e-7,0.000115132,0.0008448827,0.00001570797,0.00009780437,0.0007074106,0.9928918,0.005130913],"study_design_scores_gemma":[0.000001590914,0.000002769488,0.0008728163,0.00002099585,9.753968e-7,0.00003665417,0.002157349,0.00001301137,0.00007855065,0.00006172666,0.9967477,0.000005809496],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.003685282,0.001028914,0.000311153,0.01183057,0.002518158,0.0000962914,0.003412433,0.0006059708,0.9765112],"genre_scores_gemma":[0.01532029,0.0005013624,0.0001908119,0.002040005,0.0001799555,0.00002474841,0.001120225,0.0002728025,0.9803498],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.2950409,"threshold_uncertainty_score":0.9870102,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01264940595907406,"score_gpt":0.2006603913859398,"score_spread":0.1880109854268657,"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."}}