{"id":"W3003168789","doi":"","title":"Dataset for: Presence of seed-borne pest and pathogens on/in the seed produced by farmers in the province of Cotopaxi","year":2019,"lang":"en","type":"article","venue":"","topic":"Nematode management and characterization studies","field":"Agricultural and Biological Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"PEST analysis; Crop; Horticulture; Agriculture; Biology; Geography; Agricultural science; Agronomy; Ecology","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":[0.0005526082,0.0006515877,0.0007906356,0.001481224,0.000501336,0.00075266,0.001056604,0.0009845425,0.04853569],"category_scores_gemma":[0.004463538,0.0002100398,0.0005245568,0.002012136,0.0001265397,0.00055535,0.0007962665,0.0006301591,0.01066765],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008165116,"about_ca_system_score_gemma":0.0009936175,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03569635,"about_ca_topic_score_gemma":0.04714225,"domain_scores_codex":[0.999597,0.00005614239,0.0000866276,0.0001506851,0.00005346671,0.00005603194],"domain_scores_gemma":[0.9986318,0.0003370536,0.000341263,0.0001857013,0.0003896248,0.0001144404],"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":[0.0003933995,0.00009585918,0.06694196,0.003627697,0.0001630899,0.0002564605,0.0001612694,0.000495604,0.0005206366,0.0006760597,0.9125132,0.01415469],"study_design_scores_gemma":[0.0009689225,0.0002018497,0.3208523,0.003056747,0.0003113418,0.0007294172,0.001497258,0.002566668,0.0009983013,0.001821175,0.6668912,0.0001048635],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001963342,0.0000630745,0.00006198645,0.0001012917,0.00001292703,0.00003087715,0.9972383,0.00005499394,0.000473214],"genre_scores_gemma":[0.01314022,0.0001261091,0.0008760079,0.0001565901,0.00001849232,0.0005409836,0.9838825,0.00002724997,0.001231819],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.04853569,"threshold_uncertainty_score":0.162368,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01690361482284054,"score_gpt":0.2287523623427681,"score_spread":0.2118487475199275,"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."}}