{"id":"W6961209792","doi":"10.14473/csda/ympjwd/mf8r6k","title":"OM12_CHPS401.R","year":2024,"lang":"cs","type":"dataset","venue":"Czech Social Science Data Archive","topic":"Wheat and Barley Genetics and Pathology","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Standards Association","funders":"","keywords":"Process (computing); Identification (biology); Term (time); Set (abstract data type)","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":[0.002490895,0.004668452,0.003699136,0.006320638,0.001714673,0.004214897,0.004866588,0.002512028,0.2181084],"category_scores_gemma":[0.00853014,0.002005193,0.002881739,0.007198064,0.0007976419,0.002641263,0.003911952,0.002588248,0.2283327],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001729681,"about_ca_system_score_gemma":0.003056029,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01153354,"about_ca_topic_score_gemma":0.01883196,"domain_scores_codex":[0.9978986,0.000326877,0.0001694907,0.0009378836,0.0003537678,0.000313385],"domain_scores_gemma":[0.9977993,0.0007268651,0.0001853593,0.0006985762,0.0003747927,0.000215108],"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":[0.0001416026,0.00002475255,0.0005785322,0.001074792,0.0001353034,0.00002332997,0.00004242518,0.0002388836,0.0005478668,0.0005654529,0.9942562,0.002370878],"study_design_scores_gemma":[0.0005938346,0.00002814312,0.003371874,0.0002168464,0.0001584722,0.00007635013,0.00006838083,0.0009980124,0.001704856,0.00337254,0.9893247,0.00008579562],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"software","genre_scores_codex":[0.0001937203,0.00007154532,0.000438642,0.00003925897,0.00002994557,0.00002369789,0.9929316,0.005534492,0.0007370907],"genre_scores_gemma":[0.000727668,0.00005848415,0.00177742,0.00006281217,0.00001463415,0.0002196843,0.992873,0.003315106,0.0009511755],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.7818916,"threshold_uncertainty_score":0.7296453,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05560457501523614,"score_gpt":0.3166758276955811,"score_spread":0.261071252680345,"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."}}