{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001432247,0.002768077,0.001846705,0.00655462,0.001005877,0.004872851,0.003052595,0.002106175,0.2328224],"category_scores_gemma":[0.007397929,0.001039268,0.001631357,0.01003367,0.0006706538,0.002041651,0.003739578,0.001834875,0.2798305],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002002284,"about_ca_system_score_gemma":0.003500004,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0192713,"about_ca_topic_score_gemma":0.02054456,"domain_scores_codex":[0.9984775,0.0001926874,0.000176222,0.0004050738,0.0003702844,0.000378144],"domain_scores_gemma":[0.9977661,0.0005428516,0.0001872964,0.0007154167,0.0004635056,0.0003247151],"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":[0.00008230257,0.00001732243,0.0003314435,0.0005384276,0.00002994758,0.00002439151,0.00001659691,0.0001244228,0.0001949357,0.0004791686,0.9959175,0.002243516],"study_design_scores_gemma":[0.0002777791,0.00001644599,0.0025372,0.0001928806,0.00003577786,0.00005400452,0.00005696241,0.0003061374,0.0007047445,0.001051675,0.9947363,0.00003028071],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001062314,0.0000515244,0.00007789744,0.00005323058,0.00002129768,0.000009798219,0.997672,0.001152315,0.0008556843],"genre_scores_gemma":[0.0003062947,0.00005644627,0.0001937636,0.00003904382,0.000009003565,0.00004740382,0.9982749,0.0003251894,0.0007480284],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7671776,"threshold_uncertainty_score":0.7788686,"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."}}