{"id":"W4385054935","doi":"10.1093/oed/2862597015","title":"Alberta Clipper, n.","year":2023,"lang":"en","type":"book-chapter","venue":"Oxford University Press eBooks","topic":"Legal Cases and Commentary","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Clipper (electronics); Computer science; Engineering; Electrical engineering","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00003600851,0.000280767,0.0003901312,0.0001340787,0.0001133008,0.00001637096,0.0002079142,0.0002713164,0.0002124497],"category_scores_gemma":[0.000004484204,0.0002960469,0.0003182231,0.000006449622,0.00009546312,0.00003978118,0.000363778,0.0004643311,0.00002067924],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001440453,"about_ca_system_score_gemma":0.00007951201,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009209031,"about_ca_topic_score_gemma":0.0001925689,"domain_scores_codex":[0.9989957,0.000009700176,0.0001378834,0.0003633296,0.0002545675,0.0002388463],"domain_scores_gemma":[0.9990578,0.00007039972,0.00009492291,0.0005181686,0.00005270361,0.0002060414],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0006834232,0.00002881074,0.00003131739,0.0002404014,0.0006018,0.0028112,0.0001555385,8.887801e-7,0.00002673746,0.893701,0.09224681,0.009472144],"study_design_scores_gemma":[0.0009456043,0.0001646899,0.00001827153,0.0002472008,0.000571964,0.00005160403,0.00002504522,0.00001283347,0.00002851909,0.000182192,0.9974756,0.0002764809],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0001222109,0.00005063073,0.000008279537,0.0002722176,0.0002556145,0.0003517107,0.00009399772,0.0001460703,0.9986992],"genre_scores_gemma":[0.0002646742,0.0004061618,0.0000539699,0.0005461938,0.0001979986,5.362635e-7,0.0001626117,0.00007158068,0.9982963],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.9052288,"threshold_uncertainty_score":0.9999492,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03433289973527567,"score_gpt":0.2245238415101833,"score_spread":0.1901909417749076,"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."}}