{"id":"W6960864813","doi":"10.1371/journal.pone.0256577.t003","title":"Study characteristics of included studies with funding from the Canadian Institutes of Health Research (CIHR), &lt;i&gt;n&lt;/i&gt; = 851.","year":2021,"lang":"en","type":"dataset","venue":"Figshare","topic":"Genetic and Environmental Crop Studies","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Government (linguistics); Public health; Health services research; Medical research; Health care","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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.005486709,0.001277556,0.003095565,0.005881671,0.00103451,0.002116458,0.00237001,0.002389374,0.2475653],"category_scores_gemma":[0.05815131,0.000847785,0.002847233,0.0109496,0.0005380448,0.002160343,0.001453078,0.001892518,0.02873798],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002981089,"about_ca_system_score_gemma":0.008268015,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03682227,"about_ca_topic_score_gemma":0.08790622,"domain_scores_codex":[0.9948835,0.0009746032,0.001938016,0.0009512492,0.0008499027,0.0004027468],"domain_scores_gemma":[0.9572489,0.02699587,0.005876761,0.003037076,0.005731879,0.00110942],"domain_codex":null,"domain_gemma":"evaluation","domain_candidate":"evaluation","domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004553563,0.00002279808,0.002330087,0.04220671,0.0008606053,0.00004032039,0.0001104413,0.0003362054,0.0001188569,0.001720726,0.9454449,0.006353024],"study_design_scores_gemma":[0.008147221,0.000142982,0.03898958,0.08013298,0.005657631,0.0002882631,0.0005891739,0.000837849,0.0004704575,0.01203563,0.8525091,0.0001990922],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002191981,0.001283673,0.0001940871,0.0002733939,0.0000589221,0.0002371132,0.9963682,0.00005475028,0.001310734],"genre_scores_gemma":[0.01263293,0.003447018,0.002860626,0.001856922,0.0001894565,0.01425961,0.9525137,0.0004501559,0.01178963],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.9970189,"threshold_uncertainty_score":0.8281885,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2532200433243506,"score_gpt":0.3321502274908422,"score_spread":0.07893018416649161,"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."}}