{"id":"W1984689363","doi":"10.1111/j.1744-7976.2006.00073.x","title":"Marketing Biotech Soybeans with Functional Health Attributes","year":2006,"lang":"en","type":"article","venue":"Canadian Journal of Agricultural Economics/Revue canadienne d agroeconomie","topic":"Cognitive and psychological constructs research","field":"Psychology","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Purchasing; Marketing; Laddering; Population; Product (mathematics); Business; Agricultural science; Psychology; Sociology; Mathematics; Biology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0009630143,0.0003349041,0.0006251933,0.0004511504,0.0004122703,0.0001858276,0.0004351712,0.0001857044,0.004392726],"category_scores_gemma":[0.00007376626,0.0002556791,0.0002394221,0.0002703514,0.0002765448,0.0003014419,0.00001776453,0.0006281579,0.0001481582],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001446883,"about_ca_system_score_gemma":0.001154253,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.06684102,"about_ca_topic_score_gemma":0.7795615,"domain_scores_codex":[0.9970868,0.0001884654,0.0009411779,0.0004832387,0.00002640137,0.001273872],"domain_scores_gemma":[0.9967584,0.0003401837,0.0006907632,0.0002338565,0.0003705683,0.001606222],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.002231111,0.0003163206,0.3303371,0.0002063387,0.002486032,0.001891788,0.002524249,0.002979732,0.0002975547,0.2067772,0.3351542,0.1147984],"study_design_scores_gemma":[0.001412477,0.0007879203,0.9259213,0.0000944384,0.00003404528,0.003188022,0.002688761,0.000005447913,0.0000220695,0.001224536,0.06412975,0.0004912767],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9707685,0.0009098714,0.00004752872,0.01059579,0.001214062,0.0002764113,0.000346089,0.00001364478,0.01582814],"genre_scores_gemma":[0.994451,0.00002866231,0.0002093177,0.0007304,0.001357398,0.00001267051,0.0001200795,0.00002661306,0.003063797],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7127205,"threshold_uncertainty_score":0.9999896,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04604538290354161,"score_gpt":0.2216073894793603,"score_spread":0.1755620065758187,"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."}}