{"id":"W4287705237","doi":"10.5281/zenodo.3959498","title":"NPA_ref_20200724_3","year":2020,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Food Industry and Aquatic Biology","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001086287,0.001794912,0.00248441,0.01004749,0.002958997,0.007181453,0.003400031,0.002851554,0.7257201],"category_scores_gemma":[0.004542294,0.0009688123,0.001630829,0.01514368,0.001175889,0.005208699,0.004013515,0.002541048,0.729157],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003536335,"about_ca_system_score_gemma":0.006042729,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03181596,"about_ca_topic_score_gemma":0.02343236,"domain_scores_codex":[0.9984983,0.00007796152,0.0001369953,0.000286682,0.0007698291,0.0002300933],"domain_scores_gemma":[0.9968761,0.0004399438,0.0001155116,0.0004846019,0.001753754,0.0003299684],"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":[0.00003610741,0.00001184879,0.00008626449,0.0005492902,0.00000902698,0.00003460854,0.00002790475,0.0000643311,0.0004540081,0.002423132,0.9826298,0.01367385],"study_design_scores_gemma":[0.000009284696,0.000005027089,0.0003807146,0.0001085495,0.00000903885,0.00003147641,0.00002195989,0.00003227726,0.0002570244,0.001145928,0.9979887,0.00001006716],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.0004798638,0.001685143,0.002342135,0.001333807,0.01159718,0.0001661904,0.6397929,0.005847193,0.3367555],"genre_scores_gemma":[0.003567881,0.003707247,0.003767291,0.001234488,0.001293369,0.0003845628,0.7171515,0.005939036,0.2629547],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.2742799,"threshold_uncertainty_score":0.3912269,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08174139747397215,"score_gpt":0.2238896861713796,"score_spread":0.1421482886974075,"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."}}