{"id":"W4394187288","doi":"10.6084/m9.figshare.20138339.v3","title":"Alternative career pathway decision-support database for IMGs in Canada","year":2022,"lang":"en","type":"dataset","venue":"Figshare","topic":"Higher Education and Employability","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Database; Computer science; Psychology; Data science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002958496,0.0001594225,0.0002408079,0.0000747027,0.0003316755,0.00007724639,0.0009204636,0.0000997361,0.942502],"category_scores_gemma":[0.005126351,0.0001850855,0.00006030241,0.0002821709,0.0000119174,0.0001067868,0.0002200903,0.0003479073,0.0002608945],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002115653,"about_ca_system_score_gemma":0.01560322,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9898104,"about_ca_topic_score_gemma":0.9993062,"domain_scores_codex":[0.9979587,0.00016459,0.0002931928,0.0004587706,0.0007383223,0.0003864065],"domain_scores_gemma":[0.9977363,0.001213767,0.0001596941,0.00051042,0.0001767483,0.0002030214],"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":[0.000005320793,0.00003366972,0.00005645665,0.00006908272,0.000006710788,0.00002331069,0.0003763743,0.000002805287,1.567206e-8,0.000002474379,0.9987139,0.0007098826],"study_design_scores_gemma":[0.0001260289,0.00001155788,0.0002116539,0.0001432149,0.000004298868,2.821168e-7,0.0005382387,2.954295e-7,0.000001242244,0.00004927498,0.9986967,0.0002171566],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000215785,0.00004716594,1.440162e-7,0.0001459682,0.00120586,0.0006251332,0.9977689,0.00001098894,0.0001742875],"genre_scores_gemma":[0.00006912103,0.000008683878,0.00002474431,0.0006158038,0.0003087602,0.001417924,0.9970641,0.00001340139,0.0004775123],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.9422411,"threshold_uncertainty_score":0.9899774,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09557576893296281,"score_gpt":0.359684014514016,"score_spread":0.2641082455810532,"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."}}