{"id":"W6892151892","doi":"10.5064/f6z31wj1/ouvdw4","title":"Johnson_Senate41_LCJC_15ev_20140909.pdf","year":2018,"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":[],"category_scores_codex":[0.002971172,0.001492719,0.0008716239,0.005622238,0.001536069,0.003459534,0.002945912,0.001506228,0.2941584],"category_scores_gemma":[0.0197025,0.001029646,0.0009771334,0.01102194,0.0006224734,0.002007446,0.003075567,0.001646805,0.2233392],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003835224,"about_ca_system_score_gemma":0.007000699,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05764767,"about_ca_topic_score_gemma":0.1050586,"domain_scores_codex":[0.9978193,0.0005037951,0.0003520821,0.0003609287,0.0005433447,0.0004204827],"domain_scores_gemma":[0.9891536,0.003292538,0.0008519382,0.002273363,0.003679211,0.0007493075],"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":[0.00001885893,0.000006384371,0.0002849927,0.0002280701,0.000005290624,0.000005073427,0.00002815112,0.00003993453,0.00002004829,0.0004330883,0.9977871,0.001142877],"study_design_scores_gemma":[0.0001288666,0.000009543523,0.0029425,0.0004019763,0.00001224735,0.00002245098,0.0002700694,0.0001253716,0.0002085381,0.001033361,0.9948205,0.00002463015],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004782017,0.00001385165,0.00004642495,0.00008905718,0.00001667625,0.00001474517,0.9980478,0.0001710845,0.001552469],"genre_scores_gemma":[0.0004637168,0.00005446005,0.0003086608,0.00007867109,0.000009521876,0.0003312764,0.994865,0.000139924,0.003748711],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7058417,"threshold_uncertainty_score":0.9840578,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08609954183236224,"score_gpt":0.3589272814600456,"score_spread":0.2728277396276834,"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."}}