{"id":"W7016050130","doi":"","title":"Vancouver Consumer - Feb. 18, 2023 - Dr. Ron Zokol with BC Perio","year":2023,"lang":"en","type":"other","venue":"Bulletin of Miscellaneous Information (Royal Gardens Kew)","topic":"Algorithms and Data Compression","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Quality (philosophy); Population; Public health","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":[0.0004081769,0.0009325574,0.0007560426,0.001327046,0.002784926,0.004294981,0.0008135251,0.001879864,0.8551282],"category_scores_gemma":[0.001462466,0.000455031,0.0004284406,0.001680761,0.0004500023,0.001265849,0.001383645,0.002126416,0.7531503],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001879224,"about_ca_system_score_gemma":0.00196225,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06056843,"about_ca_topic_score_gemma":0.3040799,"domain_scores_codex":[0.9996302,0.0000167726,0.000009027395,0.00006642025,0.0002129296,0.00006453247],"domain_scores_gemma":[0.9986349,0.00007935808,0.00002244995,0.00006507331,0.0007975379,0.0004007034],"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":[0.00002540996,0.000007233107,0.0000688837,0.00003143714,0.000001312987,0.00002177122,0.0000092025,0.00002092586,0.0001044512,0.0003659979,0.9775785,0.02176487],"study_design_scores_gemma":[0.000004014948,0.000006032665,0.0003387536,0.00003839592,0.000001226577,0.00001874924,0.00004182961,0.00003154675,0.00006747439,0.0001051032,0.9993435,0.000003457037],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0004291931,0.001787235,0.0004096368,0.002807936,0.003411584,0.00007636862,0.00412182,0.001139103,0.9858173],"genre_scores_gemma":[0.0003492786,0.0003028238,0.00006580458,0.0001862665,0.00005727247,0.000004808765,0.0004009609,0.0001373532,0.9984956],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1448718,"threshold_uncertainty_score":0.206642,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007756999015564303,"score_gpt":0.1933496144892889,"score_spread":0.1855926154737245,"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."}}