{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002544593,0.001298166,0.001096607,0.008761346,0.000829945,0.00220844,0.001577222,0.00061291,0.4965715],"category_scores_gemma":[0.0775496,0.0004601078,0.0009374972,0.01426731,0.0003542688,0.001397687,0.0006855328,0.001260071,0.130643],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008848676,"about_ca_system_score_gemma":0.002216572,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004757435,"about_ca_topic_score_gemma":0.003620882,"domain_scores_codex":[0.9960621,0.0008186126,0.0009721353,0.0006202498,0.001325601,0.0002012641],"domain_scores_gemma":[0.9190708,0.05542227,0.006742828,0.004441428,0.01369629,0.0006263299],"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":[0.0002318167,0.00009416744,0.003229309,0.002134995,0.000109344,0.00007689499,0.0001422583,0.0007722732,0.0002611871,0.005647025,0.9378603,0.04944044],"study_design_scores_gemma":[0.0002014562,0.0001735764,0.01351945,0.001257875,0.0001174723,0.0003542978,0.0005482512,0.001033,0.0005883359,0.01714423,0.9649693,0.00009285682],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.002326765,0.0007148844,0.005454394,0.0005993597,0.001049952,0.0005047788,0.9723361,0.002332388,0.01468134],"genre_scores_gemma":[0.03845548,0.002937217,0.02346465,0.001988733,0.001460325,0.004303199,0.8826603,0.002486959,0.04224315],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.5034285,"threshold_uncertainty_score":0,"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."}}