{"id":"W4398925518","doi":"10.7910/dvn/sczu92/f4lrmh","title":"maternitylv_3Oct2019.tab","year":2019,"lang":"en","type":"dataset","venue":"Harvard Dataverse","topic":"Healthcare Systems and Public Health","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Maternity leave; Political science; Law; Sick leave","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":[0.001130208,0.002037909,0.001490533,0.004627187,0.0007904612,0.003316676,0.002871773,0.002437179,0.2242463],"category_scores_gemma":[0.009018357,0.001009071,0.001497203,0.00850194,0.0004969121,0.001650411,0.00230294,0.001708116,0.1830646],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002025111,"about_ca_system_score_gemma":0.002791921,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02836944,"about_ca_topic_score_gemma":0.03942768,"domain_scores_codex":[0.9990535,0.0001737642,0.0001481546,0.000259201,0.0001707396,0.0001945239],"domain_scores_gemma":[0.9968461,0.001151552,0.0003722007,0.0006164586,0.000609603,0.0004039984],"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":[0.0000494207,0.000009921008,0.0005594512,0.0004908821,0.00002299596,0.00001099738,0.00001205989,0.0001427702,0.00003713766,0.0004032125,0.9970052,0.001255982],"study_design_scores_gemma":[0.0004412861,0.0000219808,0.003562894,0.0006310642,0.00004201686,0.00005859512,0.00006304043,0.0003794135,0.0002513543,0.001477024,0.9930393,0.0000320163],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004294733,0.00005326181,0.00002072519,0.00006996601,0.00001654085,0.000003995181,0.9991279,0.0001748287,0.0004898675],"genre_scores_gemma":[0.0004083261,0.0001069348,0.0001237517,0.0001146252,0.00001515774,0.00004838123,0.9982249,0.000101429,0.0008564385],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7757537,"threshold_uncertainty_score":0.7501787,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04427533186553979,"score_gpt":0.3310789718447595,"score_spread":0.2868036399792198,"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."}}