{"id":"W6961147526","doi":"10.14473/csda/qjwlgn/60cspl","title":"D05_CHPS301.pdf","year":2024,"lang":"cs","type":"dataset","venue":"Czech Social Science Data Archive","topic":"DNA and Biological Computing","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Standards Association","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":[0.001076694,0.002087884,0.001346967,0.003559873,0.0008218298,0.00337585,0.002582911,0.001622464,0.2374447],"category_scores_gemma":[0.004908903,0.0008162044,0.001191189,0.004938233,0.0005211828,0.001441919,0.002479375,0.001390431,0.2750683],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001383365,"about_ca_system_score_gemma":0.002155761,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01497558,"about_ca_topic_score_gemma":0.01830765,"domain_scores_codex":[0.9990191,0.0001348981,0.000095631,0.0003268311,0.0002168917,0.000206667],"domain_scores_gemma":[0.9980805,0.0004398843,0.0001435734,0.0005989967,0.0004137622,0.0003231536],"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":[0.00006819855,0.00001349099,0.0002996021,0.0003258968,0.00001616732,0.00001202791,0.000009025085,0.0001021477,0.0001165286,0.0003415001,0.9972942,0.001401167],"study_design_scores_gemma":[0.0003275963,0.00002263741,0.002621714,0.0001197349,0.00002372312,0.00004605743,0.00004919729,0.0002953535,0.0006189515,0.0008174275,0.9950333,0.00002433081],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00007736449,0.00002897687,0.00004238771,0.00004290836,0.00001849844,0.000007104997,0.998446,0.0005341096,0.0008026461],"genre_scores_gemma":[0.0003084763,0.00003386542,0.0001318627,0.00004547019,0.000006715738,0.0000363111,0.9982741,0.0001499872,0.001013247],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7625553,"threshold_uncertainty_score":0.7943317,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03605023138704542,"score_gpt":0.3443455764376257,"score_spread":0.3082953450505803,"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."}}