{"id":"W6925430501","doi":"10.17605/osf.io/n9hbm","title":"Tables","year":2018,"lang":"en","type":"article","venue":"Open Science Framework","topic":"Advanced Statistical Methods and Models","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Table (database); Regression analysis; Regression; Linear regression; Data collection","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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.001498795,0.00008046487,0.000150033,0.00003619124,0.0004675239,0.0002885274,0.001565,0.00004643651,0.0008172047],"category_scores_gemma":[0.00846637,0.00006110296,0.00001498109,0.0006198715,0.001077243,0.0004763056,0.0006633591,0.0001294245,0.000125383],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002924694,"about_ca_system_score_gemma":0.0001117932,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001385488,"about_ca_topic_score_gemma":0.000008350426,"domain_scores_codex":[0.9988099,0.00003236871,0.0001496319,0.0003529329,0.0003105165,0.0003446859],"domain_scores_gemma":[0.9982721,0.0007628166,0.00005860811,0.0005847261,0.0001725429,0.0001492471],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000005157885,0.00002121124,0.00003267351,0.000002437838,0.000001008164,8.38796e-7,0.0001998104,5.302109e-7,0.0005492765,0.9625893,0.0007537732,0.03584401],"study_design_scores_gemma":[0.00004799925,0.00006116396,0.00007879849,0.00005267642,0.000003499607,0.000002196045,0.00008352407,0.0006721749,0.00326205,0.9862599,0.009373895,0.0001020842],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.003461484,0.00000497678,0.9120787,0.0003084649,0.0003082312,0.0001893279,0.000005929021,0.00002553333,0.08361734],"genre_scores_gemma":[0.1564164,0.000001787108,0.8419484,0.0003455007,0.0001203267,0.00001331443,1.270384e-7,0.000008003863,0.001146185],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.1529549,"threshold_uncertainty_score":0.9998857,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2110566250375004,"score_gpt":0.5345794369441793,"score_spread":0.3235228119066789,"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."}}