{"id":"W7000788657","doi":"","title":"Government of Alberta (via Public) / Edmonton Chamber Of Commerce Speech","year":2017,"lang":"en","type":"other","venue":"","topic":"Prenatal Screening and Diagnostics","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Government (linguistics); Public policy; State government; Commerce Clause","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":[0.0009102477,0.001063022,0.0006172092,0.002575867,0.004328266,0.005725904,0.001491931,0.003404518,0.3725597],"category_scores_gemma":[0.003595778,0.0006173183,0.0005182318,0.002089037,0.001097341,0.0008674518,0.001192612,0.003169597,0.1864899],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01459781,"about_ca_system_score_gemma":0.04397168,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8260888,"about_ca_topic_score_gemma":0.9029698,"domain_scores_codex":[0.9985607,0.00004134513,0.00002841878,0.0001024091,0.0008414422,0.0004255776],"domain_scores_gemma":[0.9970173,0.0002984069,0.00005618955,0.0001426476,0.001865273,0.0006201578],"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":[0.00004488197,0.00003596582,0.0003588084,0.00004789079,0.00000285321,0.0001047546,0.0000597334,0.00009731131,0.0001609676,0.008875777,0.9758287,0.01438243],"study_design_scores_gemma":[0.00001966306,0.000008407334,0.002814927,0.00007890511,0.00000409711,0.00002729966,0.0001703704,0.0001401383,0.0002458805,0.0006557644,0.9958233,0.0000114394],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001093578,0.0004295442,0.0001798663,0.002725454,0.00108255,0.00009236076,0.01098413,0.0005072092,0.9829054],"genre_scores_gemma":[0.001204033,0.0001861617,0.00009541521,0.0004397395,0.00004951549,0.00001461585,0.001655183,0.0001113387,0.9962441],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.3725597,"threshold_uncertainty_score":0.8949674,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02400704062417615,"score_gpt":0.2726950248997486,"score_spread":0.2486879842755724,"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."}}