{"id":"W6926495116","doi":"10.22008/fk2/cs5lka/p87drj","title":"wana4.rtl","year":2021,"lang":"en","type":"dataset","venue":"Geological Survey of Denmark and Greenland (GEUS)","topic":"Postharvest Quality and Shelf Life Management","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Apotex Pharmachem (Canada)","funders":"","keywords":"Process (computing); Identification (biology); Product (mathematics)","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":[],"category_scores_codex":[0.00151737,0.00438412,0.002697538,0.007291742,0.001077847,0.004477663,0.00449949,0.003416995,0.3046841],"category_scores_gemma":[0.008362565,0.001766798,0.002540317,0.01276883,0.000664623,0.002403984,0.002869945,0.002566902,0.3858736],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001558588,"about_ca_system_score_gemma":0.002963078,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03563858,"about_ca_topic_score_gemma":0.04303112,"domain_scores_codex":[0.9984924,0.0002863055,0.0001632085,0.0004667819,0.0002953791,0.000295864],"domain_scores_gemma":[0.9968759,0.0009630795,0.0002990717,0.0008234121,0.000608716,0.0004298008],"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":[0.0000408714,0.00001315511,0.0002402826,0.0004915559,0.00002635672,0.000006302466,0.00001694167,0.0002613363,0.00003726448,0.0002533866,0.9976204,0.0009921972],"study_design_scores_gemma":[0.0004645815,0.00002250634,0.001525012,0.0003456138,0.00004915931,0.00002492503,0.0000778604,0.000668785,0.0001998348,0.001834293,0.9947441,0.00004335874],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00002172886,0.0000252682,0.00002629849,0.00002015952,0.00001030434,0.000003883305,0.9991882,0.0003872599,0.0003168595],"genre_scores_gemma":[0.0001612512,0.00004555253,0.0001864026,0.00003581434,0.000006397961,0.00006086813,0.9986112,0.0002750338,0.0006174691],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.6953159,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05141407409577292,"score_gpt":0.2543719765755149,"score_spread":0.202957902479742,"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."}}