{"id":"W4328123480","doi":"10.1080/10848770.2023.2192069","title":"Windswept: Walking the Paths of Trailblazing Women","year":2023,"lang":"en","type":"article","venue":"The European Legacy","topic":"Migration, Ethnicity, and Economy","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Computer science","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004631959,0.00006447938,0.00008551311,0.00003453217,0.0007605156,0.0001170557,0.0005453373,0.00001439866,0.0002142389],"category_scores_gemma":[0.0002111699,0.00003913656,0.00005506993,0.0003707286,0.0002471891,0.0002404255,0.00007840831,0.0001159772,0.0005213596],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002945256,"about_ca_system_score_gemma":0.00004539961,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004723815,"about_ca_topic_score_gemma":0.0006457176,"domain_scores_codex":[0.9984062,0.0008400136,0.0001829102,0.0001153018,0.000172606,0.0002829891],"domain_scores_gemma":[0.9993412,0.0002441174,0.00009619039,0.0002442472,0.00003089465,0.0000433501],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000005113296,0.00001584864,0.001036271,0.000008882252,0.00002529446,0.000004525249,0.9236624,0.00007806425,0.0003889748,0.01470362,0.009328227,0.05074273],"study_design_scores_gemma":[0.0003129817,0.00004479407,0.1508914,0.00003954166,0.00002055083,0.000001278372,0.2805873,0.0001217083,0.0001490398,0.007228814,0.560351,0.0002516692],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.708115,0.00004883589,0.00002010681,0.001657083,0.000196058,0.0001066709,0.000001308171,0.00008080815,0.2897741],"genre_scores_gemma":[0.9916212,0.0001006835,0.000007072011,0.0002369371,0.0006972401,0.000004083369,0.000001279659,0.00001412244,0.007317368],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6430752,"threshold_uncertainty_score":0.6701197,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03332494213492689,"score_gpt":0.277103808188793,"score_spread":0.2437788660538661,"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."}}