{"id":"W2034073509","doi":"10.1002/pa.23","title":"Consumers' search behaviour for GM food information","year":2005,"lang":"en","type":"article","venue":"Journal of Public Affairs","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Genome Prairie; Canada Research Chairs; Genome Canada","keywords":"Construct (python library); Hyperlink; Sample (material); Marketing; Advertising; Business; Economics; Computer science; World Wide Web; Web page","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.001054665,0.0001812409,0.0002193507,0.001183602,0.001093939,0.001754913,0.0003056265,0.0006426346,0.006966949],"category_scores_gemma":[0.005460667,0.0001531403,0.0003273058,0.001479383,0.0005041319,0.0005068842,0.0003980612,0.0003808966,0.0005268538],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002246129,"about_ca_system_score_gemma":0.001762937,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.5826039,"about_ca_topic_score_gemma":0.5871379,"domain_scores_codex":[0.9994374,0.0001017834,0.00002347692,0.00004414097,0.0002758645,0.0001173331],"domain_scores_gemma":[0.9969903,0.001446524,0.0005642874,0.0001317325,0.0006418126,0.000225254],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001149828,0.0003936426,0.8857528,0.0002764185,0.0001039284,0.0006993578,0.03823654,0.0005042236,0.004619963,0.001099964,0.005596605,0.06156668],"study_design_scores_gemma":[0.00003907542,0.000191051,0.9610113,0.00008580111,0.00006209123,0.0003124912,0.02588958,0.001306714,0.0009447141,0.0002161005,0.009872902,0.00006822249],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9950075,0.0001935919,0.00006286675,0.0001714581,0.000002786729,0.00002198076,0.0003084484,0.000006412776,0.004225071],"genre_scores_gemma":[0.9958363,0.00024843,0.0001870806,0.0001071159,0.000004653325,0.000009714136,0.0003717895,0.000003737533,0.00323124],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5826039,"threshold_uncertainty_score":0.8397084,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1188074261621232,"score_gpt":0.2359174005480167,"score_spread":0.1171099743858935,"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."}}