{"id":"W6960598067","doi":"10.1371/journal.pone.0258857.s006","title":"Effect of betting houses when setting the treatment one year after opening, in &lt;i&gt;t&lt;/i&gt;&lt;sub&gt;+1&lt;/sub&gt;.","year":2021,"lang":"en","type":"dataset","venue":"Figshare","topic":"Soybean genetics and cultivation","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Census; Table (database); Data collection; Quarter (Canadian coin)","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":[],"consensus_categories":[],"category_scores_codex":[0.002390204,0.0009764406,0.00232306,0.0007572128,0.0009195546,0.001602228,0.003196528,0.002836313,0.09883327],"category_scores_gemma":[0.01365396,0.0006098147,0.00338763,0.001315054,0.0005295491,0.001214912,0.001336423,0.007155129,0.01229626],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001669787,"about_ca_system_score_gemma":0.002376134,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06507759,"about_ca_topic_score_gemma":0.05718044,"domain_scores_codex":[0.9975261,0.0007944184,0.0001397861,0.0007438928,0.0001705122,0.0006252543],"domain_scores_gemma":[0.993889,0.003423566,0.00090574,0.0004745821,0.0002757358,0.001031399],"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":[0.01659525,0.001763232,0.1426698,0.002443332,0.002818959,0.0002999964,0.0005543967,0.00578363,0.0008593184,0.007365416,0.7597927,0.05905401],"study_design_scores_gemma":[0.01424704,0.004691351,0.6004713,0.002555285,0.008186369,0.0003757644,0.004384243,0.01397459,0.003361522,0.008899059,0.3385818,0.0002718156],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.2771803,0.01256526,0.004272103,0.009187053,0.006081674,0.0008536078,0.6552224,0.001128293,0.03350936],"genre_scores_gemma":[0.6125386,0.002011621,0.002616041,0.003375491,0.0008876418,0.002587085,0.2871459,0.0005978668,0.08823979],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.09883327,"threshold_uncertainty_score":0.3306302,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02287682829152078,"score_gpt":0.2324805042485601,"score_spread":0.2096036759570393,"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."}}