{"id":"W1787693286","doi":"","title":"Introduction of Canada fish import program.","year":2014,"lang":"en","type":"article","venue":"Shipin anquan zhiliang jiance xuebao","topic":"Agricultural Economics and Policy","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Fish <Actinopterygii>; Fishery; Chemistry; Business; Biology","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":[0.0006654521,0.0004504214,0.0001819427,0.001135991,0.002333706,0.001515299,0.0009643597,0.002020343,0.06232648],"category_scores_gemma":[0.001399204,0.0002970797,0.0002875145,0.0008626912,0.0004283883,0.0005200204,0.0009165272,0.001519655,0.006133946],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01526564,"about_ca_system_score_gemma":0.0497373,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9353366,"about_ca_topic_score_gemma":0.9716016,"domain_scores_codex":[0.9990777,0.00003669069,0.00002089293,0.0001035223,0.0004274758,0.0003337562],"domain_scores_gemma":[0.9987191,0.00006629246,0.0000260772,0.00003503343,0.0007206037,0.0004328926],"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":[0.000171656,0.00009097847,0.006348221,0.0001915136,0.00001527601,0.0002536546,0.0002394551,0.000381371,0.001451222,0.02329925,0.908604,0.05895349],"study_design_scores_gemma":[0.00002457477,0.00002217767,0.01988027,0.00003881971,0.000007411443,0.00002880327,0.0001199023,0.0001839306,0.0004725327,0.0002838807,0.9789235,0.00001427704],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.0327514,0.007003326,0.002827944,0.05288655,0.005035474,0.001296985,0.06090171,0.001681815,0.8356149],"genre_scores_gemma":[0.0399228,0.001442652,0.001598217,0.01078915,0.0001846707,0.0001793579,0.007974807,0.0001191006,0.9377892],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.06466335,"threshold_uncertainty_score":0.2085029,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007172774353534883,"score_gpt":0.1871679506841809,"score_spread":0.179995176330646,"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."}}