{"id":"W6986886048","doi":"","title":"Retrial ordered for Via Rail plotters, Alberta's fiscal update, harm reduction saves lives, Alberta beer industry","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":"State (computer science); Consumption (sociology); Harm; Executive director; Fiscal year; Executive summary","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":[],"category_scores_codex":[0.001123982,0.0007774356,0.0005196966,0.001365995,0.004102101,0.00417845,0.001450318,0.003448923,0.4331369],"category_scores_gemma":[0.003424876,0.0004838671,0.0003682145,0.001558913,0.0007167496,0.001253854,0.001753125,0.00397758,0.2164319],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00738639,"about_ca_system_score_gemma":0.01758592,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.549136,"about_ca_topic_score_gemma":0.8378273,"domain_scores_codex":[0.9989362,0.0000511563,0.00002810962,0.00006063454,0.0006417298,0.0002820991],"domain_scores_gemma":[0.9960769,0.0001901391,0.00009751029,0.000155802,0.001894704,0.001584865],"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":[0.000004370295,0.000004329607,0.00003664763,0.000006440633,2.705333e-7,0.000007908316,0.00000477523,0.000003456278,0.000007463233,0.00005637416,0.9974675,0.002400506],"study_design_scores_gemma":[0.000008939323,0.000006286763,0.001004914,0.00003538586,0.000001204199,0.0000103061,0.00009689502,0.00001019609,0.00002003493,0.00005039399,0.9987504,0.000005022024],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00127972,0.006166937,0.000170123,0.06051604,0.03190943,0.0002750865,0.01229293,0.001595598,0.8857942],"genre_scores_gemma":[0.001408699,0.001102727,0.0001003862,0.004636496,0.00101852,0.00002298918,0.002051383,0.0001493856,0.9895093],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.450864,"threshold_uncertainty_score":0.9070385,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008000975723413597,"score_gpt":0.2022565767578015,"score_spread":0.1942556010343879,"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."}}