{"id":"W2282636377","doi":"10.33354/smst.75221","title":"eTrial – Viljelijöiden täsmäviljelytekniikat koeruutututkimuksessa","year":2016,"lang":"fi","type":"article","venue":"Suomen Maataloustieteellisen Seuran Tiedote","topic":"Forest Management and Policy","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Petro-Canada","funders":"","keywords":"Physics","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":[],"consensus_categories":[],"category_scores_codex":[0.001982953,0.0006627009,0.0008458368,0.0009054608,0.001099817,0.003046401,0.000887374,0.001839979,0.04485926],"category_scores_gemma":[0.002474912,0.0003978843,0.0008566019,0.0006020801,0.001080753,0.001572586,0.001854117,0.002283989,0.0155063],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001275962,"about_ca_system_score_gemma":0.002699314,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002241223,"about_ca_topic_score_gemma":0.00434587,"domain_scores_codex":[0.9976205,0.000726846,0.0001900812,0.0003043448,0.0008825603,0.0002757194],"domain_scores_gemma":[0.9982729,0.0004289253,0.0002478049,0.0001609296,0.0007114605,0.0001780914],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.003711972,0.001597131,0.01076208,0.007940934,0.0003406055,0.003481303,0.004480022,0.0009418592,0.2893122,0.03783742,0.06055482,0.5790396],"study_design_scores_gemma":[0.00007062852,0.001134339,0.004793206,0.0006921298,0.000100625,0.001798706,0.00138175,0.000269465,0.06591619,0.002053308,0.9217348,0.00005492173],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2343105,0.1665998,0.02859999,0.03268981,0.009159956,0.001573048,0.00404729,0.002013538,0.5210061],"genre_scores_gemma":[0.4128853,0.06499298,0.02292734,0.007502954,0.001643843,0.0004917886,0.002990284,0.000488607,0.486077],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.04485926,"threshold_uncertainty_score":0.1500692,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01466134000689728,"score_gpt":0.2358791428678243,"score_spread":0.221217802860927,"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."}}