{"id":"W4394298095","doi":"10.6084/m9.figshare.103682","title":"Canadian postsecondary faculty salary comparison data.xls","year":2012,"lang":"en","type":"dataset","venue":"Figshare","topic":"Research, Science, and Academia","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Salary; Computer science; Statistics; Mathematics; Political science; Law","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":["metaresearch","metaepi_narrow","scholarly_communication","open_science","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.002382537,0.0004798545,0.0007939435,0.001017003,0.0006439968,0.001431158,0.0146604,0.0007534032,0.756267],"category_scores_gemma":[0.02177186,0.0003570422,0.0001706997,0.001400546,0.00006984104,0.001665374,0.002783507,0.002161952,0.2019626],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002881177,"about_ca_system_score_gemma":0.003457822,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.03473526,"about_ca_topic_score_gemma":0.2039572,"domain_scores_codex":[0.9915425,0.0003541958,0.001027355,0.001572817,0.003990123,0.00151302],"domain_scores_gemma":[0.991363,0.001454293,0.0005576561,0.004150411,0.0005108776,0.001963703],"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":[0.00000295511,0.00001833698,0.0001223528,0.00003816126,0.00001213678,0.00004960316,0.00002842605,0.000001562419,4.647194e-7,4.138462e-7,0.9904494,0.009276247],"study_design_scores_gemma":[0.0001006708,0.00002008295,0.003212561,0.00034956,0.000009838922,0.00001976022,0.00009115331,0.0001105977,0.000005023106,0.00006645123,0.9955468,0.0004675356],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000004590698,0.001875127,1.053047e-7,0.0005679312,0.000506673,0.0004228139,0.9935053,0.00003103893,0.003086409],"genre_scores_gemma":[0.0001129094,0.0000173566,0.0000274913,0.001217245,0.000921202,0.00004913718,0.9949451,0.00002207733,0.002687463],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.5543044,"threshold_uncertainty_score":0.9998882,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5367474540262777,"score_gpt":0.519508715433905,"score_spread":0.01723873859237268,"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."}}