{"id":"W7067811585","doi":"","title":"The NDP's Plan to Win Alberta","year":2023,"lang":"en","type":"other","venue":"Bulletin of Miscellaneous Information (Royal Gardens Kew)","topic":"Coronary Interventions and Diagnostics","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Handshake; Government (linguistics); Plan (archaeology); Prime minister; Face (sociological concept); Romance","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":[0.00115893,0.0006969015,0.0002863854,0.0005621915,0.01108373,0.006148858,0.001411458,0.003561157,0.1651925],"category_scores_gemma":[0.002091526,0.0004966718,0.0003955,0.0004258148,0.001227783,0.001351287,0.003792987,0.006625077,0.04610185],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01429621,"about_ca_system_score_gemma":0.05012545,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.785239,"about_ca_topic_score_gemma":0.9293048,"domain_scores_codex":[0.9978927,0.00009124834,0.000016879,0.0001373858,0.000836957,0.001024844],"domain_scores_gemma":[0.9975878,0.00005591777,0.00002085974,0.00005030548,0.0006315496,0.001653571],"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":[0.00001969177,0.00002572478,0.0004105493,0.00001652309,0.00000173052,0.0001247681,0.0001452468,0.00003957082,0.0001205872,0.005577082,0.9829038,0.01061468],"study_design_scores_gemma":[0.000007737363,0.000008727138,0.0009482403,0.00002369185,0.000001367407,0.00003235609,0.000586144,0.00004060159,0.00006893527,0.0003160606,0.9979571,0.000009035272],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.004325022,0.001911302,0.0008015939,0.09617594,0.01404406,0.0001891855,0.001375983,0.0007211838,0.8804557],"genre_scores_gemma":[0.007761197,0.0003996692,0.0003395696,0.009770819,0.0001994045,0.00002492191,0.0004076507,0.000109615,0.9809872],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.214761,"threshold_uncertainty_score":0.5526239,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008377570811002212,"score_gpt":0.2134787083140416,"score_spread":0.2051011375030394,"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."}}