{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.005576641,0.0003091675,0.0005888283,0.0003505888,0.0001558299,0.0001590294,0.001204941,0.0003799288,0.8875358],"category_scores_gemma":[0.002129596,0.0003581597,0.0002098664,0.000543574,0.000218969,0.00007592745,0.001082977,0.0004402642,0.4247278],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003429992,"about_ca_system_score_gemma":0.000477867,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.01944972,"about_ca_topic_score_gemma":0.02359163,"domain_scores_codex":[0.9940436,0.002192954,0.000523123,0.001958529,0.0008154174,0.0004664085],"domain_scores_gemma":[0.9967586,0.0005066008,0.000349166,0.002080661,0.0000682183,0.0002367556],"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":[0.00001484286,0.0004430511,0.01965831,0.00008405769,0.0002806955,0.00008444468,0.001769255,0.0002307526,0.00001780444,0.0029842,0.9284723,0.04596031],"study_design_scores_gemma":[0.0002472084,1.679515e-7,0.003067754,0.0002091376,0.00005680722,0.000001332172,0.0004749715,0.00007073281,0.00001795038,0.00324623,0.9922646,0.0003431168],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0001916225,0.00001757607,0.0009417816,0.0003520276,0.0004822891,0.0005213516,0.0002071319,0.00008563242,0.9972006],"genre_scores_gemma":[0.001245372,0.0006096917,0.003413053,0.0001761181,0.0002971892,0.000139614,0.001344734,0.0001137227,0.9926605],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.462808,"threshold_uncertainty_score":0.999887,"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."}}