{"id":"W6981715546","doi":"","title":"Exportación de trucha ahumada congelada al mercado de Vancouver - Canadá","year":2019,"lang":"es","type":"dissertation","venue":"renati","topic":"Collagen: Extraction and Characterization","field":"Materials Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Fish <Actinopterygii>; Ile de france","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000482017,0.0005125443,0.0005807703,0.0002606087,0.0003179605,0.0003372622,0.0004325963,0.000563499,0.006830233],"category_scores_gemma":[0.0001979015,0.0005554445,0.0001729576,0.0003283079,0.00005432923,0.000478024,0.00003795755,0.000362374,0.0004378951],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007818377,"about_ca_system_score_gemma":0.001950125,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.00807851,"about_ca_topic_score_gemma":0.03371555,"domain_scores_codex":[0.9968713,0.0002268154,0.0007459688,0.0007404383,0.0007063564,0.0007091376],"domain_scores_gemma":[0.9978805,0.0001273995,0.0008341634,0.0005224709,0.0003352602,0.0003002512],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0002911477,0.0001856841,0.002964371,0.0006235892,0.000111406,0.00009625563,0.004523527,0.0002963264,0.9370058,0.001367939,0.04467241,0.007861547],"study_design_scores_gemma":[0.002596858,0.0003424436,0.116577,0.001495655,0.0005914786,0.0001116462,0.009520131,0.005745667,0.5074902,0.0002267326,0.3522763,0.003025902],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9830425,0.0002299438,0.0003228775,0.0001803916,0.00753863,0.0006352864,0.0003696963,0.000121037,0.007559606],"genre_scores_gemma":[0.956535,0.0005965548,0.0002358087,0.0009341661,0.0003777656,0.00008057305,0.001363888,0.000108647,0.03976762],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4295156,"threshold_uncertainty_score":0.9996897,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008855747021829239,"score_gpt":0.2653233737545025,"score_spread":0.2564676267326733,"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."}}