{"id":"W6906638008","doi":"10.17605/osf.io/mpz63","title":"Parents in Parliament Dataset","year":2021,"lang":"en","type":"other","venue":"OSF Preprints (OSF Preprints)","topic":"Computational and Text Analysis Methods","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Parliament; Government (linguistics); Work (physics); Legislation","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006475982,0.001460693,0.00108704,0.005376182,0.002732316,0.001802512,0.001937744,0.001680987,0.07559249],"category_scores_gemma":[0.004109209,0.0005247541,0.001068888,0.007499166,0.0005052543,0.0006617918,0.001757126,0.001379509,0.05291119],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00556895,"about_ca_system_score_gemma":0.01380063,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.813637,"about_ca_topic_score_gemma":0.9116969,"domain_scores_codex":[0.9990495,0.0001040128,0.00004869358,0.0001532183,0.0003138581,0.0003307083],"domain_scores_gemma":[0.9978511,0.0002897592,0.0001188325,0.0002420809,0.001071671,0.0004265261],"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":[0.00004745307,0.00001956418,0.002220681,0.0001315815,0.00002076775,0.0000412972,0.00009376677,0.0001466776,0.00008032628,0.000492529,0.9937551,0.002950256],"study_design_scores_gemma":[0.00008133765,0.000009978408,0.02797799,0.0001310259,0.00003152482,0.00005030843,0.0005690215,0.0003892513,0.0002674212,0.0003421685,0.9701221,0.00002788606],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0008967408,0.0000678932,0.00003941723,0.0001029658,0.00002510923,0.00002599522,0.9962786,0.0001450509,0.002418227],"genre_scores_gemma":[0.001893766,0.00007273209,0.0002020471,0.00006930964,0.00001280558,0.0000894718,0.9914193,0.00006053699,0.006179955],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.813637,"threshold_uncertainty_score":0.374921,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04063871321733869,"score_gpt":0.3627215805217325,"score_spread":0.3220828673043938,"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."}}