{"id":"W7010070197","doi":"","title":"A guide to your application : this program may make you eligible for Ontario drug benefits 2000-2001","year":2000,"lang":"en","type":"other","venue":"Bulletin of Miscellaneous Information (Royal Gardens Kew)","topic":"Astrophysical Phenomena and Observations","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Drug; MEDLINE; Work (physics); 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":[],"category_scores_codex":[0.001426686,0.001104693,0.00102412,0.003535925,0.004407401,0.002958665,0.00157451,0.00462976,0.6226309],"category_scores_gemma":[0.007744682,0.001175414,0.0008283368,0.002840814,0.0008099484,0.001699814,0.001631873,0.00251696,0.4595565],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007407388,"about_ca_system_score_gemma":0.01952271,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.435487,"about_ca_topic_score_gemma":0.7483978,"domain_scores_codex":[0.9987876,0.00007648239,0.00005578707,0.00005729157,0.0007627364,0.0002600442],"domain_scores_gemma":[0.9950532,0.0007767072,0.0002159722,0.0002024062,0.002405203,0.001346366],"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":[0.00001585366,0.00004652364,0.0001821877,0.00002842493,0.000001066613,0.00002037739,0.00001601388,0.0000189447,0.0000415533,0.0002333766,0.9848653,0.0145304],"study_design_scores_gemma":[0.00008344666,0.00005364802,0.005570256,0.00009742104,0.000007987942,0.00004368613,0.0001086405,0.0001401543,0.00009974805,0.0004010343,0.9933703,0.00002373095],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001513037,0.0007768536,0.0009704708,0.01010275,0.001159416,0.002148802,0.02037307,0.002891014,0.9600646],"genre_scores_gemma":[0.001181121,0.000377399,0.000586821,0.002175475,0.0001187209,0.0002697002,0.001698159,0.0001953615,0.9933971],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.6226309,"threshold_uncertainty_score":0.8659043,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007660548671072745,"score_gpt":0.2170253077870284,"score_spread":0.2093647591159556,"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."}}