{"id":"W6961340185","doi":"10.14473/csda/hgzkpi/wzirf9","title":"OM03_CHPS201.pdf","year":2024,"lang":"cs","type":"dataset","venue":"Czech Social Science Data Archive","topic":"Bioinformatics and Genomic Networks","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","open_science","insufficient_payload"],"consensus_categories":["open_science"],"category_scores_codex":[0.001730026,0.0006435512,0.0005223951,0.0002198638,0.001244277,0.0008617242,0.007107821,0.000620839,0.0003576109],"category_scores_gemma":[0.0002436991,0.0006096984,0.0002074046,0.0007058759,0.00327898,0.00005233137,0.01068052,0.001105257,0.01177974],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009973796,"about_ca_system_score_gemma":0.002048763,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001144305,"about_ca_topic_score_gemma":0.0003249884,"domain_scores_codex":[0.9951716,0.00009437362,0.0007221582,0.001857239,0.0008276618,0.001326989],"domain_scores_gemma":[0.9962779,0.00004951895,0.0003740865,0.002732394,0.0001213178,0.0004448238],"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":[0.00003122133,0.000067164,0.000002857325,0.000187935,0.0001173413,0.00001909213,0.0002778084,0.000001281387,0.003645175,0.0004258403,0.9819621,0.01326211],"study_design_scores_gemma":[0.0002280334,0.0001766147,0.00002556279,0.0001032245,0.0001901511,0.00002646677,0.0004600471,0.0009726384,0.0002236422,0.002130571,0.9946991,0.000763903],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001312627,0.0008556841,0.0006918834,0.0003359914,0.002672882,0.0005104551,0.9826064,0.00001886196,0.01217665],"genre_scores_gemma":[0.001173494,0.002229117,0.0008720855,0.0009240723,0.004230462,0.00002173956,0.9895109,0.00004000884,0.0009981011],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.01273697,"threshold_uncertainty_score":0.9996355,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01825571211604364,"score_gpt":0.3034161596993069,"score_spread":0.2851604475832632,"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."}}