{"id":"W6948527315","doi":"10.5064/f6z31wj1/egfykb","title":"Johnson_Senate41_LCJC_15ev_20140911.pdf","year":2023,"lang":"pl","type":"dataset","venue":"Syracuse University Qualitative Data Repository","topic":"Environmental Monitoring and Data Management","field":"Earth and Planetary Sciences","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","open_science","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.002403548,0.0009631275,0.0009528697,0.0007078894,0.001482995,0.0004226559,0.005557469,0.0005963528,0.001415816],"category_scores_gemma":[0.0002837763,0.001041314,0.0002246018,0.0008611656,0.0009987185,0.002202266,0.002721164,0.001257877,0.1643411],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002315704,"about_ca_system_score_gemma":0.0002355813,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05412395,"about_ca_topic_score_gemma":0.003747548,"domain_scores_codex":[0.9910749,0.002851449,0.0008115935,0.002653973,0.001527926,0.001080185],"domain_scores_gemma":[0.9919776,0.001916361,0.0009028856,0.004439197,0.00008623311,0.0006777497],"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":[0.0002356382,0.0001557789,0.0006869298,0.0004057792,0.0007493229,0.002669692,0.00209395,0.00007953641,0.00001257857,0.00002357481,0.99238,0.0005071948],"study_design_scores_gemma":[0.0007364138,0.0003074631,0.005870281,0.0003458311,0.0006910899,0.00002410496,0.04610357,0.0003045646,0.0000159951,0.00001619028,0.9443829,0.001201584],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.002205466,0.000388014,0.00006757923,0.0002485916,0.005099281,0.0006247624,0.9874665,0.0002015529,0.003698248],"genre_scores_gemma":[0.000699645,0.003914688,0.0004778352,0.0001003003,0.0007232252,7.182425e-7,0.9270313,0.00003428525,0.06701801],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1629253,"threshold_uncertainty_score":0.9998229,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08280846047714147,"score_gpt":0.3020240355089329,"score_spread":0.2192155750317915,"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."}}