{"id":"W6990933178","doi":"","title":"Ep136: Oh, Canada: Part Deaux","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":"Service (business); Work (physics); Product (mathematics); Hot weather; Government (linguistics)","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":[0.0004740441,0.000844156,0.0006874203,0.001353708,0.005496537,0.004952592,0.001020636,0.001915982,0.7885079],"category_scores_gemma":[0.002294767,0.0006226876,0.0003803491,0.002792124,0.0008426612,0.001379585,0.001274848,0.001924977,0.4816466],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009836012,"about_ca_system_score_gemma":0.023431,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.7774655,"about_ca_topic_score_gemma":0.9109563,"domain_scores_codex":[0.9993733,0.0000216062,0.00001526187,0.0000784304,0.0003622462,0.0001492212],"domain_scores_gemma":[0.9981796,0.0001122508,0.0000466854,0.00009032345,0.001154072,0.0004171323],"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":[0.0000171566,0.000007533863,0.0001174078,0.00005662243,9.967691e-7,0.0000329702,0.00003554642,0.00004154898,0.00008302322,0.001610163,0.9767828,0.02121429],"study_design_scores_gemma":[0.000003248388,0.000002415973,0.0005490835,0.00004644742,8.191317e-7,0.000009475882,0.00006582159,0.00002450503,0.00007011553,0.0001724536,0.999051,0.000004594314],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0003299416,0.0009904385,0.0002093186,0.002416139,0.0007067095,0.00007906042,0.01218555,0.0004903478,0.9825925],"genre_scores_gemma":[0.000571387,0.0002877942,0.00006351703,0.0002386291,0.00001935298,0.00001060175,0.0008775939,0.0001552262,0.9977759],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.7774655,"threshold_uncertainty_score":0.4476901,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006045171567072878,"score_gpt":0.1745181852244982,"score_spread":0.1684730136574254,"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."}}