{"id":"W2159785146","doi":"10.1093/biomet/ass020","title":"On the estimation of an average rigid body motion","year":2012,"lang":"en","type":"article","venue":"Biometrika","topic":"Veterinary Equine Medical Research","field":"Veterinary","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval; McGill University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Biostatistics; Library science; Estimation; Mathematics; Statistics; Art history; Demography; Epidemiology; History; Sociology; Medicine; Computer science; Management; Economics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001364159,0.0001024614,0.0001258183,0.0005097487,0.00007661194,0.00002039284,0.0002708164,0.00007815182,0.001593449],"category_scores_gemma":[0.001737887,0.00006686082,0.0000553741,0.001110084,0.0000958899,0.0002642829,0.00009755787,0.0001548101,0.0005951721],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007298548,"about_ca_system_score_gemma":0.00001745998,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004171821,"about_ca_topic_score_gemma":1.716228e-7,"domain_scores_codex":[0.998425,0.0002421056,0.0002123516,0.000147622,0.0006541656,0.0003187289],"domain_scores_gemma":[0.9987836,0.000477508,0.00007556841,0.000452697,0.00004896368,0.000161649],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.002101716,0.004500785,0.002378335,0.0003521194,0.0001588535,0.0001500746,0.001377412,0.0000715063,0.4767511,0.03029676,0.006436068,0.4754252],"study_design_scores_gemma":[0.004239869,0.04445879,0.6697531,0.0003792475,0.0000993842,0.0008694482,0.0004198691,0.1341001,0.1015368,0.007512176,0.03519194,0.001439216],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9921923,0.00006582291,0.003809651,0.00027371,0.0002361482,0.0002418834,0.0000175172,0.00004684918,0.003116065],"genre_scores_gemma":[0.9989856,0.000005339964,0.0005465737,0.00006427019,0.0001484553,0.00002067764,0.00002891407,0.00001699154,0.0001831875],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6673748,"threshold_uncertainty_score":0.9993193,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1296142898268419,"score_gpt":0.411678625111275,"score_spread":0.282064335284433,"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."}}