{"id":"W4256417464","doi":"10.1515/iupac.73.0065","title":"Avocado","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Okanagan College","funders":"","keywords":"Table (database); Product (mathematics); Food science; Commission; Chemistry; Biochemistry; Organic chemistry; Polymer science; Computer science; Mathematics; Political science; Database; Law","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":[],"consensus_categories":[],"category_scores_codex":[0.001210619,0.001620311,0.001532313,0.003046745,0.0009497455,0.004187922,0.002158196,0.001618497,0.1841152],"category_scores_gemma":[0.01087263,0.0005305829,0.001475821,0.005900694,0.0003575297,0.002652969,0.002476612,0.00160687,0.2488434],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001347115,"about_ca_system_score_gemma":0.002887774,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01633889,"about_ca_topic_score_gemma":0.02880534,"domain_scores_codex":[0.9981165,0.000348139,0.0002175308,0.0007206972,0.0003683693,0.0002288121],"domain_scores_gemma":[0.9969853,0.0007801101,0.000314419,0.000822519,0.0008077316,0.000289975],"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":[0.0001227973,0.00001346982,0.00121048,0.0008968321,0.00003096693,0.00002167226,0.00002399893,0.0001851694,0.00007725342,0.001169153,0.9882429,0.008005289],"study_design_scores_gemma":[0.00008205631,0.00001126266,0.001733499,0.0004856891,0.00002727119,0.00004632324,0.000046086,0.0001604274,0.0001186659,0.001381802,0.9958936,0.00001330628],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002079916,0.0003103238,0.0001839781,0.0002100728,0.0001058816,0.00001758169,0.9938242,0.0005825202,0.004557443],"genre_scores_gemma":[0.0006880881,0.0002921245,0.0004094648,0.0001967535,0.00003743918,0.00007237736,0.9948351,0.0001976859,0.003270819],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1841152,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01700671488959141,"score_gpt":0.4267934560614926,"score_spread":0.4097867411719012,"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."}}