{"id":"W4318485822","doi":"10.1080/00031305.2022.2160590","title":"Object Oriented Data Analysis","year":2023,"lang":"en","type":"article","venue":"The American Statistician","topic":"Advanced Database Systems and Queries","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Computer science","routes":{"ca_aff":true,"ca_fund":false,"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":[],"consensus_categories":[],"category_scores_codex":[0.000404211,0.0001047064,0.000249358,0.0001638025,0.0002114017,0.0000451915,0.001162874,0.000005653678,0.00001155862],"category_scores_gemma":[0.0001879906,0.00007026732,0.00003333956,0.004718603,0.0002263482,0.0002690152,0.0008411965,0.00007369256,0.000254967],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001554297,"about_ca_system_score_gemma":0.00004693654,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001708362,"about_ca_topic_score_gemma":0.0005805711,"domain_scores_codex":[0.9987004,0.0001358857,0.0001881499,0.0004108293,0.0002726736,0.0002920141],"domain_scores_gemma":[0.9970443,0.0003757096,0.0001823573,0.002292423,0.00004148273,0.0000637123],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002117047,0.00003286086,0.003699198,0.00001324802,0.0007846866,0.0001863031,0.001837272,0.001089561,0.0001948546,0.6914719,0.04776929,0.2528997],"study_design_scores_gemma":[0.0002235323,0.0001681402,0.1859312,0.00001553779,0.0003291655,0.00001312701,0.002734073,0.4884602,0.00005961672,0.002810254,0.3186731,0.0005819954],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.003194632,0.00001961024,0.9943684,0.0005163492,0.0001327529,0.00008134496,0.0009473404,0.0002943068,0.0004453106],"genre_scores_gemma":[0.5182633,0.0001025542,0.4771327,0.001582438,0.0002202705,0.00004172111,0.001470851,0.0000309935,0.001155123],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.6886616,"threshold_uncertainty_score":0.327717,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03783203117561788,"score_gpt":0.3352063899743726,"score_spread":0.2973743587987547,"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."}}