{"id":"W88698037","doi":"","title":"back to source","year":2002,"lang":"en","type":"article","venue":"Canadian women's studies","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0009485657,0.001232829,0.001389874,0.009357901,0.005006996,0.006824798,0.002632396,0.002423219,0.7412521],"category_scores_gemma":[0.009545675,0.0007273025,0.001092996,0.01167705,0.0005863556,0.003026122,0.00297983,0.003018327,0.5445107],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01439198,"about_ca_system_score_gemma":0.0136114,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.6090076,"about_ca_topic_score_gemma":0.6516522,"domain_scores_codex":[0.9983814,0.00005905704,0.00005805772,0.0001232277,0.001046153,0.0003320972],"domain_scores_gemma":[0.993201,0.0004902736,0.000127196,0.0003959213,0.005296402,0.0004892246],"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":[0.000006184358,0.000004272641,0.00004482567,0.00004795815,9.285738e-7,0.000005760126,0.00002572612,0.000008876334,0.00001122015,0.0004450753,0.9909991,0.00840019],"study_design_scores_gemma":[0.000008718353,0.000002788653,0.001129873,0.0001665022,0.000005017283,0.000007816795,0.0001148674,0.00001140068,0.0000705756,0.0003226018,0.9981511,0.000008582958],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.0003362473,0.001946907,0.0002855961,0.008735785,0.008764313,0.0003792223,0.1048295,0.001360366,0.8733621],"genre_scores_gemma":[0.0007455657,0.0007070142,0.000122298,0.001205045,0.0003558186,0.00009043398,0.009979999,0.0003945233,0.9863993],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7412521,"threshold_uncertainty_score":0.7865901,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03375351226345284,"score_gpt":0.2410397555391164,"score_spread":0.2072862432756636,"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."}}