{"id":"W7000353065","doi":"","title":"Episode 5 - Canadian Teams - Eastern Preview!","year":2019,"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":"Government (linguistics); Social media; Negotiation; Qualitative research","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":[0.0009307803,0.001029652,0.0005164226,0.001132277,0.01621588,0.007168766,0.001589512,0.003164468,0.3767536],"category_scores_gemma":[0.002611573,0.0005206855,0.0005939051,0.001903825,0.0008852046,0.002467392,0.004312119,0.004198969,0.1434325],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01254422,"about_ca_system_score_gemma":0.0230416,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.886215,"about_ca_topic_score_gemma":0.9764671,"domain_scores_codex":[0.9980401,0.00006342615,0.00002426389,0.0001086182,0.0007702498,0.0009933581],"domain_scores_gemma":[0.9970754,0.00005073172,0.00004381873,0.0000892414,0.00110103,0.001639712],"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":[0.00001427772,0.000006139097,0.0001671326,0.00001318812,9.291838e-7,0.00005021518,0.0002110975,0.000008237535,0.00003244375,0.0005278918,0.995593,0.003375406],"study_design_scores_gemma":[0.000003347519,0.000003702423,0.001023851,0.00002398787,0.000001356885,0.00002001158,0.000809556,0.00001073672,0.00004913855,0.00006839977,0.9979786,0.000007229069],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00374847,0.001210166,0.0006021513,0.01446516,0.007380034,0.000279753,0.01800097,0.00171412,0.9525992],"genre_scores_gemma":[0.01125746,0.0004279418,0.000323935,0.003650341,0.0004449313,0.00006449535,0.005130798,0.0006272842,0.9780728],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.886215,"threshold_uncertainty_score":0.8889853,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0061650770055688,"score_gpt":0.1887000438306769,"score_spread":0.1825349668251081,"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."}}