{"id":"W6960621784","doi":"10.1371/journal.pone.0305543.t001","title":"Activities by objective.","year":2024,"lang":"en","type":"dataset","venue":"Figshare","topic":"Wheat and Barley Genetics and Pathology","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Public health; Interview; Health care; Service (business); Needs assessment; Public policy; Health policy; Public service","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002799998,0.001466574,0.001376862,0.003599686,0.001481755,0.003913978,0.00224536,0.001857367,0.2982239],"category_scores_gemma":[0.02254223,0.000732533,0.001712939,0.006144542,0.0004623898,0.002150429,0.003384391,0.00225081,0.1914636],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0030846,"about_ca_system_score_gemma":0.009503459,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.09602063,"about_ca_topic_score_gemma":0.1046111,"domain_scores_codex":[0.9963235,0.0006276045,0.0006767894,0.001079365,0.0006034886,0.0006893585],"domain_scores_gemma":[0.9901143,0.002342938,0.0009373761,0.001805618,0.003857197,0.0009424514],"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":[0.0001065228,0.00001810272,0.001950335,0.001011831,0.00002244759,0.00001378996,0.0000635423,0.00009212117,0.00003641912,0.001470141,0.9879825,0.007232184],"study_design_scores_gemma":[0.0001686115,0.0000132637,0.004957056,0.0007464027,0.00002005005,0.00002316009,0.000214681,0.00007813491,0.00008026621,0.001110926,0.9925707,0.00001675321],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001905416,0.0001019066,0.0001553974,0.0002149904,0.0001089903,0.0001595733,0.9926862,0.0001748036,0.00620759],"genre_scores_gemma":[0.001871,0.0002824471,0.001419664,0.0004583902,0.00005879238,0.001664967,0.9796195,0.0002411391,0.01438409],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.701776,"threshold_uncertainty_score":0.9976585,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02361380983661366,"score_gpt":0.2330217550620306,"score_spread":0.2094079452254169,"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."}}