{"id":"W7001981754","doi":"","title":"The Marc Patrone Show - May 25, 2020 - Canadian Debt, Biased Media & Surveillance Tech","year":2020,"lang":"en","type":"other","venue":"Bulletin of Miscellaneous Information (Royal Gardens Kew)","topic":"Prenatal Screening and Diagnostics","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Government (linguistics); Knight; Debt; Joins; Plan (archaeology); High 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":[0.0007617645,0.000698686,0.0002769138,0.001175023,0.008404374,0.005357835,0.0006803711,0.003278382,0.278224],"category_scores_gemma":[0.003068334,0.0004218091,0.0003788681,0.001278302,0.0009390008,0.001922342,0.001510541,0.003458048,0.1025622],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01322168,"about_ca_system_score_gemma":0.02360483,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8674762,"about_ca_topic_score_gemma":0.9666571,"domain_scores_codex":[0.9989361,0.0000297227,0.00001242304,0.00006780677,0.0006123556,0.0003416681],"domain_scores_gemma":[0.9976568,0.00007870317,0.00003833733,0.00004738997,0.001099523,0.001079245],"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":[0.000003381695,0.000002443049,0.0001074595,0.000006539403,3.354712e-7,0.00001385183,0.00001831366,0.00000395539,0.00002717941,0.0007230915,0.9962024,0.002891093],"study_design_scores_gemma":[0.000001792345,0.000002336892,0.0009437933,0.00001572641,8.592502e-7,0.00001499618,0.0001310728,0.0000130776,0.00004818344,0.00009143968,0.9987319,0.000004771266],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001126084,0.003937544,0.0002221802,0.07516633,0.0110676,0.00009692201,0.006824081,0.0006469517,0.9009124],"genre_scores_gemma":[0.003009508,0.000847521,0.0001205749,0.0055298,0.0002892692,0.00001126496,0.0008211127,0.0001041626,0.9892669],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.278224,"threshold_uncertainty_score":0.9307521,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00857639295908832,"score_gpt":0.1961860516774892,"score_spread":0.1876096587184009,"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."}}