{"id":"W6908149051","doi":"10.25625/xn7lqy/q3ozby","title":"PRS.NH4.NO3.Ntot.15Ntot.txt","year":2021,"lang":"ka","type":"dataset","venue":"Göttingen Research Online","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Western University","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":[0.001045939,0.002645635,0.001899702,0.003930549,0.00102597,0.003311782,0.00336061,0.002610568,0.2107002],"category_scores_gemma":[0.005833439,0.001132996,0.001637523,0.00798931,0.0005380918,0.002235973,0.002252585,0.001910405,0.3301635],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001708982,"about_ca_system_score_gemma":0.002472574,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02760874,"about_ca_topic_score_gemma":0.0435377,"domain_scores_codex":[0.9990557,0.0001430119,0.0001135556,0.0003329178,0.0001572534,0.0001977332],"domain_scores_gemma":[0.9975755,0.000728037,0.0001894568,0.0006440415,0.0006059311,0.0002570753],"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":[0.00006581505,0.00001341125,0.0002381617,0.0006874643,0.00001723024,0.00001208939,0.00001681198,0.0001240922,0.00009493641,0.000285023,0.9972735,0.001171603],"study_design_scores_gemma":[0.0003133019,0.00001991435,0.002038313,0.000291246,0.00002752581,0.00002862111,0.00009467707,0.000246261,0.0003234747,0.001241222,0.9953425,0.00003290398],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003870316,0.00002783519,0.00002269661,0.00003403868,0.00001444207,0.000005493057,0.9991036,0.000250772,0.0005023599],"genre_scores_gemma":[0.0001415347,0.00003672897,0.0001097961,0.00003357124,0.000005816025,0.00003856379,0.9988295,0.0001041678,0.0007002698],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7892998,"threshold_uncertainty_score":0.7048622,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3041278085045608,"score_gpt":0.5280936434191064,"score_spread":0.2239658349145455,"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."}}