{"id":"W6967098923","doi":"10.5064/f6z31wj1/so35pc","title":"Johnson_Senate41_LCJC_15ev_20140909.pdf","year":2023,"lang":"pl","type":"dataset","venue":"Syracuse University Qualitative Data Repository","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Process (computing); Identification (biology); Product (mathematics)","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.002811396,0.001504661,0.0009815772,0.005254623,0.001642866,0.003866641,0.002830592,0.001707043,0.4019138],"category_scores_gemma":[0.01809612,0.001170661,0.001086208,0.01133556,0.0006451402,0.001980474,0.003026867,0.001769446,0.2965643],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003903585,"about_ca_system_score_gemma":0.00688514,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06562447,"about_ca_topic_score_gemma":0.1179896,"domain_scores_codex":[0.9980111,0.0004542305,0.0003195731,0.0003353524,0.0004756615,0.0004040118],"domain_scores_gemma":[0.9893231,0.003696988,0.0007380207,0.002113517,0.003376671,0.0007516598],"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":[0.00001750834,0.000005698084,0.0001831483,0.0002377173,0.000004680287,0.000004202682,0.00002142929,0.00003831616,0.00001789866,0.0004009552,0.9980296,0.001038816],"study_design_scores_gemma":[0.0001556854,0.000009408229,0.002285758,0.0004260417,0.00001189503,0.00001805643,0.0002201739,0.000118633,0.0001882366,0.001085062,0.995454,0.00002720879],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00002946054,0.00001093723,0.00003492664,0.00007687612,0.00001445026,0.00001210454,0.9981668,0.0001406622,0.001513734],"genre_scores_gemma":[0.0004092427,0.0000566161,0.0003147228,0.0001023446,0.000009563932,0.0003258206,0.9938806,0.0001829445,0.004718162],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.5980862,"threshold_uncertainty_score":0.8530974,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1202088044958662,"score_gpt":0.3713551557667348,"score_spread":0.2511463512708687,"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."}}