{"id":"W6921801523","doi":"10.7939/dvn/kcnxex/wghted","title":"trcstp.F90","year":2020,"lang":"en","type":"dataset","venue":"University of Alberta Library","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","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":[0.001142304,0.004541194,0.001858286,0.007232192,0.001570466,0.003903781,0.003472966,0.003511165,0.1487224],"category_scores_gemma":[0.006606096,0.0009892728,0.002063503,0.0108989,0.0008868146,0.001550301,0.001991875,0.002163254,0.2431595],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003493722,"about_ca_system_score_gemma":0.006508606,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2192305,"about_ca_topic_score_gemma":0.3027801,"domain_scores_codex":[0.9986516,0.000185283,0.00008871522,0.0003865316,0.000354571,0.0003334452],"domain_scores_gemma":[0.9972542,0.0005668043,0.0001524027,0.000627114,0.0009144325,0.0004851026],"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":[0.00003916967,0.00001352206,0.000150704,0.0002432707,0.00001225575,0.00000951002,0.000009143761,0.0001921272,0.0000410313,0.0001564265,0.9978501,0.001282774],"study_design_scores_gemma":[0.0003936655,0.00003531567,0.003014617,0.0003974878,0.00005008362,0.00005795164,0.0001443122,0.001026759,0.0003886631,0.001420412,0.9930214,0.00004930747],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"software","genre_scores_codex":[0.0001426332,0.0001385492,0.00004935381,0.00008478385,0.00004927602,0.00001014857,0.9974768,0.0007422035,0.001306303],"genre_scores_gemma":[0.0002954574,0.00008645174,0.0001826388,0.00004976902,0.000009996947,0.00002694441,0.9977201,0.0001095062,0.001519059],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.8512776,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009066369509253562,"score_gpt":0.17117409112599,"score_spread":0.1621077216167364,"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."}}