{"id":"W4244098016","doi":"10.1515/iupac.73.0181","title":"Crystallization","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Food Chemistry and Fat Analysis","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Okanagan College","funders":"","keywords":"Table (database); Commission; Product (mathematics); Food science; Chemistry; Biochemistry; Organic chemistry; Polymer science; Computer science; Political science; Mathematics; Data mining; 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":[0.002134165,0.003363192,0.002304856,0.003995245,0.001888792,0.004663148,0.004891125,0.003349131,0.0815108],"category_scores_gemma":[0.01279603,0.000913314,0.00368192,0.006576316,0.0009600125,0.002939714,0.002752209,0.003789389,0.1361514],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002218568,"about_ca_system_score_gemma":0.005681889,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02241726,"about_ca_topic_score_gemma":0.05172937,"domain_scores_codex":[0.9970586,0.0005659829,0.0003337073,0.001212125,0.0004709542,0.0003586397],"domain_scores_gemma":[0.9968132,0.001136927,0.000227726,0.0008733537,0.0007310566,0.0002178253],"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":[0.0002056831,0.00005098171,0.001408309,0.001694109,0.00008952664,0.00006066145,0.00005074175,0.0007892855,0.0002260972,0.001627645,0.986889,0.00690797],"study_design_scores_gemma":[0.0004703551,0.00003143147,0.002564466,0.0006731992,0.00008469714,0.0001281085,0.0001213779,0.001628866,0.0006181391,0.006003662,0.9876373,0.00003834106],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0004045553,0.000531057,0.0005048347,0.0002465272,0.00009991149,0.00005996499,0.9935688,0.002057242,0.002527224],"genre_scores_gemma":[0.0006703456,0.0002113432,0.001149969,0.0001177091,0.00001221502,0.0001524772,0.9964057,0.0001860308,0.001094227],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.0815108,"threshold_uncertainty_score":0.2726808,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01304312423319178,"score_gpt":0.3313753279862747,"score_spread":0.3183322037530829,"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."}}