{"id":"W3127874396","doi":"10.1017/aaq.2020.107","title":"A “Leaky” Pipeline and Chilly Climate in Archaeology in Canada","year":2021,"lang":"en","type":"article","venue":"American Antiquity","topic":"Gender Diversity and Inequality","field":"Social Sciences","cited_by":36,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Social Sciences and Humanities Research Council of Canada; McGill University","keywords":"Attrition; Stereotype (UML); Representation (politics); Inequality; History; Sociology; Political science; Demographic economics; Psychology; Law; Economics; Social psychology; Medicine; Politics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004829064,0.00005533642,0.0001865816,0.00003732958,0.00008250327,0.000008290251,0.0001025687,0.00002164032,0.00009055622],"category_scores_gemma":[0.0001779762,0.00006342986,0.00001486791,0.0004074723,0.0004643857,0.00006028129,0.0001553471,0.0001332732,0.000002887047],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001782515,"about_ca_system_score_gemma":0.001081337,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9918118,"about_ca_topic_score_gemma":0.9995185,"domain_scores_codex":[0.9988095,0.0003768034,0.0001328982,0.0001995736,0.0001458491,0.0003354459],"domain_scores_gemma":[0.9996614,0.00008382748,0.0000503185,0.00009144124,0.00003036163,0.00008263451],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001053074,0.00002818833,0.9795487,0.00000669584,0.000002085191,0.0001009224,0.007124744,0.000004430191,0.00002070241,0.003374949,0.0001106562,0.009667384],"study_design_scores_gemma":[0.0002068637,0.00001313371,0.9528824,0.00000708176,0.000002313552,0.000001923376,0.03843581,0.0000514145,0.0000447566,0.0003603901,0.007892892,0.0001010403],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9854993,0.00006475554,0.00001593935,0.00663974,0.00006658502,0.00004778435,0.00001724198,0.000007877964,0.007640754],"genre_scores_gemma":[0.9975511,0.0009304018,0.0001340205,0.001285084,0.00002055811,8.443722e-7,0.000004426209,0.000001994271,0.00007153699],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03131106,"threshold_uncertainty_score":0.2586595,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03446289961799175,"score_gpt":0.2874070522533136,"score_spread":0.2529441526353218,"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."}}