{"id":"W3144306717","doi":"","title":"The cost of segregating GM canola: A case study","year":2004,"lang":"en","type":"article","venue":"","topic":"Genetically Modified Organisms Research","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Canola; Tonne; Crop; Agricultural science; Agricultural economics; Business; Gene technology; Biotechnology; Engineering; Agronomy; Economics; Biology; Waste management","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":[0.002393713,0.0006916272,0.0003832118,0.002108645,0.002180385,0.00176742,0.001361639,0.002083672,0.003271706],"category_scores_gemma":[0.009212364,0.0003193926,0.000875899,0.002812077,0.0008704379,0.001272566,0.0008246173,0.001127477,0.0004164169],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006514702,"about_ca_system_score_gemma":0.001909215,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04246253,"about_ca_topic_score_gemma":0.05335386,"domain_scores_codex":[0.9975519,0.0009658553,0.00008418897,0.0001354003,0.0009250783,0.0003376782],"domain_scores_gemma":[0.9887685,0.008305728,0.0007045572,0.0004639294,0.001285809,0.0004715382],"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":[0.00598867,0.0117164,0.2258297,0.001977693,0.0004533005,0.06171574,0.009429872,0.1641875,0.02374191,0.04316969,0.01646951,0.43532],"study_design_scores_gemma":[0.001437342,0.01967694,0.3881547,0.0009217882,0.001550032,0.05585653,0.06118201,0.3109722,0.05536444,0.0147398,0.08925556,0.0008886296],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9777879,0.0005858485,0.002103291,0.001197002,0.00002195904,0.000234958,0.0002364695,0.00003343555,0.01779932],"genre_scores_gemma":[0.9906664,0.00092229,0.004833715,0.0001665275,0.00001924541,0.00008447483,0.0001381074,0.00001939256,0.003149699],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04246253,"threshold_uncertainty_score":0.08443075,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04736508064400005,"score_gpt":0.2834385696718036,"score_spread":0.2360734890278035,"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."}}