{"id":"W1920194995","doi":"10.22230/cjc.2006v31n1a1674","title":"Unlabelled: Law, Language, and Genetically Modified Foods in Canada","year":2006,"lang":"en","type":"article","venue":"Canadian Journal of Communication","topic":"Genetically Modified Organisms Research","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Genetically modified organism; Linguistics; Law; Genealogy; Geography; Political science; History; Genetics; Biology; Philosophy; Gene","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.002127572,0.0002968931,0.0005169247,0.001534557,0.01738738,0.006961076,0.002206308,0.004888098,0.03364092],"category_scores_gemma":[0.00623004,0.0002137777,0.0002608573,0.00307719,0.007671045,0.0020963,0.002233956,0.004802224,0.001587768],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.09513922,"about_ca_system_score_gemma":0.2090919,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9949937,"about_ca_topic_score_gemma":0.9973915,"domain_scores_codex":[0.9968894,0.0002462477,0.00006858652,0.0003211664,0.00116172,0.001312826],"domain_scores_gemma":[0.9918759,0.001989827,0.0006415226,0.0001347458,0.00343448,0.001923556],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"qualitative","study_design_scores_codex":[0.0002906958,0.0002079849,0.04549057,0.0007121468,0.0000446378,0.001478064,0.05181578,0.0007107166,0.001169211,0.1934709,0.5981705,0.1064389],"study_design_scores_gemma":[0.00006169298,0.00003987744,0.1105524,0.000793111,0.00003529524,0.0002979342,0.07486354,0.0006165934,0.0004613918,0.009236191,0.8028823,0.0001597331],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.2510323,0.02199654,0.0006528281,0.4477897,0.004002912,0.0001371911,0.005989179,0.0001242927,0.2682751],"genre_scores_gemma":[0.7824668,0.007953566,0.0006405492,0.04909777,0.0008009906,0.00007594717,0.001065543,0.0000793673,0.1578195],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.09513922,"threshold_uncertainty_score":0.6902866,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01477938415229794,"score_gpt":0.2095509146902936,"score_spread":0.1947715305379957,"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."}}