{"id":"W7063700071","doi":"","title":"Alberta GDL drivers with clean record now automatically get upgraded licence","year":2023,"lang":"en","type":"other","venue":"Bulletin of Miscellaneous Information (Royal Gardens Kew)","topic":"Magnetic confinement fusion research","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Work (physics); Data collection; Government (linguistics); Identification (biology)","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":[0.00192326,0.001289007,0.001033469,0.005488166,0.003394078,0.00545201,0.002775575,0.001925622,0.7698463],"category_scores_gemma":[0.01001971,0.001499359,0.0007684361,0.004162936,0.0008800594,0.003432934,0.003042719,0.0024351,0.7397937],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006178231,"about_ca_system_score_gemma":0.009854573,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3606955,"about_ca_topic_score_gemma":0.4740539,"domain_scores_codex":[0.997863,0.00009878187,0.00005580558,0.0001587985,0.001426033,0.000397575],"domain_scores_gemma":[0.9880756,0.0008638566,0.0003137963,0.001773631,0.006977475,0.001995595],"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":[0.00001499885,0.00001042716,0.0001067736,0.00001306911,9.007731e-7,0.000006743704,0.00001060112,0.000017036,0.0000452815,0.0002124708,0.9916325,0.007929178],"study_design_scores_gemma":[0.00002635377,0.000007253378,0.001117121,0.00002109104,0.00000314232,0.00001398412,0.00004138875,0.0001703666,0.0002141156,0.0003717692,0.9979881,0.00002520961],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0009713313,0.0001955636,0.002021163,0.001757336,0.001272035,0.0002820874,0.06866409,0.05641026,0.8684261],"genre_scores_gemma":[0.001654075,0.00009948092,0.001147188,0.000606517,0.0001108263,0.0000842797,0.02451944,0.007813049,0.9639652],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.7698463,"threshold_uncertainty_score":0.717192,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004968776824898781,"score_gpt":0.1911900830035525,"score_spread":0.1862213061786537,"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."}}