{"id":"W6920817604","doi":"10.6084/m9.figshare.14926918","title":"Additional file 1 of Comparing regression modeling strategies for predicting hometime","year":2021,"lang":"en","type":"article","venue":"Open MIND","topic":"Advanced Causal Inference Techniques","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Institute for Clinical Evaluative Sciences; Sunnybrook Health Science Centre; University of Calgary","funders":"","keywords":"Calibration; Data set; Set (abstract data type); Regression analysis; Regression; Test set; Linear regression; Statistical model","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":[0.00505151,0.001592927,0.001281755,0.001769589,0.0006564226,0.001304231,0.002126677,0.001486949,0.8249147],"category_scores_gemma":[0.1046878,0.0007145059,0.001524234,0.00264509,0.000238622,0.001539276,0.0009182912,0.001595498,0.1114744],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009246392,"about_ca_system_score_gemma":0.001996499,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009118642,"about_ca_topic_score_gemma":0.0137687,"domain_scores_codex":[0.9984446,0.0006750477,0.0001977688,0.0003078968,0.000253294,0.0001213059],"domain_scores_gemma":[0.8710854,0.1203046,0.001789736,0.002555671,0.003811941,0.0004526953],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001042296,0.0002407348,0.003693588,0.003289034,0.0001840457,0.00006513749,0.00009316689,0.002359145,0.00007892409,0.001627065,0.9647839,0.02254298],"study_design_scores_gemma":[0.02237237,0.001665403,0.05195219,0.006659381,0.001455256,0.0008653276,0.001199062,0.03606579,0.001820867,0.04086613,0.834674,0.0004042111],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.000908405,0.00005495992,0.002928777,0.0002619439,0.00006115928,0.0002933904,0.9930531,0.0007780915,0.001660144],"genre_scores_gemma":[0.04972905,0.0004582893,0.0424471,0.001520403,0.0002945524,0.01342279,0.8678317,0.004563042,0.01973309],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.8249147,"threshold_uncertainty_score":0.2497379,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3198960684744691,"score_gpt":0.4457362568877681,"score_spread":0.125840188413299,"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."}}