{"id":"W7038072340","doi":"","title":"Golden Bear Will Lift First Food, Clothes from Here","year":2010,"lang":"en","type":"article","venue":"CSUN ScholarWorks (California State University, Northridge)","topic":"Disability Rights and Representation","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Cove; Clothing; Lift (data mining); Quarter (Canadian coin)","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":["metaepi_narrow","sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0006028938,0.0002700671,0.0003017286,0.000189105,0.001969968,0.0004576443,0.0008909146,0.0003451775,0.001523977],"category_scores_gemma":[0.000188971,0.0002570483,0.0002227936,0.0007079832,0.001219744,0.001482519,0.0002599676,0.0008865908,0.0006806594],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001636495,"about_ca_system_score_gemma":0.0002363191,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.008916913,"about_ca_topic_score_gemma":0.1341219,"domain_scores_codex":[0.9974788,0.0002892587,0.0002844561,0.0006530472,0.0006721238,0.0006222753],"domain_scores_gemma":[0.9981527,0.0003057301,0.0001744288,0.0005642425,0.0002732324,0.0005296282],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002717175,0.0006282259,0.9249794,0.0000357526,0.0002111187,0.000109977,0.01681677,0.0002644015,0.0001752737,0.02406907,0.005955551,0.02648278],"study_design_scores_gemma":[0.0008865707,0.0000592639,0.03601612,0.00003756402,0.00006157682,0.000001069734,0.00677143,0.00006880071,0.00006904097,0.006330555,0.9492289,0.0004690416],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.971948,0.0001228936,0.0005251536,0.004394242,0.0009041715,0.0004893211,0.0009165707,0.0002814957,0.02041814],"genre_scores_gemma":[0.9923046,0.0003864999,0.0006335278,0.0001495915,0.000491247,0.000001792268,0.0001451746,0.00003419621,0.005853333],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9432734,"threshold_uncertainty_score":0.9999882,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01276377249568771,"score_gpt":0.2360726138863677,"score_spread":0.22330884139068,"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."}}