{"id":"W6886050557","doi":"10.14288/cl.v0i236.190122","title":"Canada's Lost Women","year":2018,"lang":"en","type":"article","venue":"Open Collections","topic":"Canadian Identity and History","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Government (linguistics); Work (physics); Population; Perspective (graphical)","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":["sts","scholarly_communication","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001380993,0.0000236034,0.00004721726,0.00004657248,0.01648899,0.003039917,0.0002356347,0.0000230736,0.05663038],"category_scores_gemma":[0.00007499056,0.00003420178,0.00000958851,0.0007524046,0.000273799,0.0001162683,0.00003267713,0.00003998154,0.0001329894],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003107619,"about_ca_system_score_gemma":0.01117681,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9999868,"about_ca_topic_score_gemma":0.9999998,"domain_scores_codex":[0.9995347,0.0000380651,0.00005050589,0.00008548085,0.0001127547,0.0001785225],"domain_scores_gemma":[0.9996515,0.00001844683,0.00001730313,0.0000839389,0.00007583328,0.0001530045],"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":[0.000002074088,0.000006569151,0.000004618603,2.770917e-7,0.000004538759,0.000001422443,0.001328211,1.344732e-7,8.098979e-7,0.0009078134,0.9973973,0.0003462377],"study_design_scores_gemma":[0.0000582666,0.00001344467,0.00009017249,0.000001550798,0.000001968275,4.841818e-7,0.00195398,9.462319e-7,0.000001386584,0.0004856757,0.9973431,0.00004902592],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0003210687,0.000007070154,0.000004445677,0.0013676,0.0006894406,0.0001273782,0.00004146715,0.000008388081,0.9974331],"genre_scores_gemma":[0.005094457,0.00001085117,0.00002618385,0.000642604,0.0002915818,0.00002342763,6.013812e-7,0.000003207254,0.9939071],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.05649739,"threshold_uncertainty_score":0.997995,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01218139386239878,"score_gpt":0.2411989020619259,"score_spread":0.2290175081995272,"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."}}