{"id":"W4398548174","doi":"10.7910/dvn/0v85e9/m8lejo","title":"parentallv_20Dec2018.tab","year":2019,"lang":"en","type":"dataset","venue":"Harvard Dataverse","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Parental leave; Engineering","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":[0.001197774,0.003126615,0.00173808,0.004486787,0.001153648,0.003945082,0.003682221,0.003151888,0.2622639],"category_scores_gemma":[0.008699036,0.001143448,0.001533927,0.007519675,0.0006832799,0.002408079,0.002867276,0.002315921,0.2944157],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001776183,"about_ca_system_score_gemma":0.002494196,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02603706,"about_ca_topic_score_gemma":0.0394404,"domain_scores_codex":[0.998933,0.0002024832,0.0001151834,0.0003403444,0.0001914131,0.0002175931],"domain_scores_gemma":[0.9970006,0.001043085,0.0002227308,0.0007733126,0.0006094161,0.0003507207],"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":[0.00003085667,0.000009621758,0.0002367095,0.0003371169,0.00001494065,0.00001051377,0.00001272749,0.00009748243,0.00004282685,0.0002462339,0.9981589,0.000802103],"study_design_scores_gemma":[0.0003216898,0.00002406281,0.001906415,0.0003662996,0.00003461775,0.00005909718,0.00008000684,0.0003381798,0.0003286383,0.001599943,0.9949061,0.00003498302],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005221027,0.00004474567,0.0000310658,0.00006795354,0.00002570128,0.00000423674,0.998804,0.0003889845,0.0005810806],"genre_scores_gemma":[0.0002686338,0.0000523637,0.0001127287,0.00006730393,0.0000107692,0.00003759843,0.9984257,0.0001705047,0.0008544234],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7377361,"threshold_uncertainty_score":0.8773602,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02980673468563771,"score_gpt":0.2728964425242084,"score_spread":0.2430897078385706,"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."}}