{"id":"W6966849566","doi":"10.5064/f6z31wj1/haxrtj","title":"Johnson_Senate41_LCJC_19ev_20141029.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":[0.00291193,0.001529362,0.0009641512,0.00532149,0.001641023,0.003767706,0.002870005,0.001771849,0.3878979],"category_scores_gemma":[0.01866673,0.00114048,0.001084452,0.01066789,0.0006683058,0.001907884,0.003057576,0.001825109,0.2887984],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003887895,"about_ca_system_score_gemma":0.006991328,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06155799,"about_ca_topic_score_gemma":0.1118841,"domain_scores_codex":[0.998002,0.0004670589,0.0003195354,0.0003334636,0.0004823134,0.0003955862],"domain_scores_gemma":[0.989072,0.003934312,0.0007456716,0.002126083,0.003354218,0.0007678295],"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":[0.00001922975,0.000006117893,0.0001835501,0.0002526665,0.000004739373,0.000004553279,0.00002150592,0.00004080757,0.0000199819,0.0004172789,0.9979334,0.001096265],"study_design_scores_gemma":[0.0001662856,0.000009904998,0.002158394,0.0004291491,0.00001182933,0.00001844063,0.0002079932,0.0001244793,0.0001945236,0.001124864,0.9955272,0.00002690271],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00002978366,0.00001149734,0.00003704011,0.0000818435,0.00001500926,0.00001286642,0.9982003,0.0001438486,0.001467916],"genre_scores_gemma":[0.0003949329,0.00005546821,0.0003264431,0.0001023946,0.000009498083,0.0003263469,0.9941931,0.0001728219,0.004418974],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.6121021,"threshold_uncertainty_score":0.8730893,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1195336724552532,"score_gpt":0.3712775205817004,"score_spread":0.2517438481264472,"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."}}