{"id":"W4240148488","doi":"10.1515/iupac.73.0600","title":"Slip Point","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":"Commission; Table (database); Food science; Product (mathematics); Chemistry; Point (geometry); Biochemistry; Organic chemistry; Polymer science; Computer science; Mathematics; Political science; Law; Data mining","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":[0.002218667,0.001815575,0.001841979,0.005070353,0.001731012,0.006124113,0.002474829,0.002827624,0.296342],"category_scores_gemma":[0.0281622,0.0006504687,0.001893582,0.008562949,0.0006664174,0.004262384,0.003355148,0.002456762,0.3555452],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001774071,"about_ca_system_score_gemma":0.004416002,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01482934,"about_ca_topic_score_gemma":0.02141546,"domain_scores_codex":[0.9963487,0.0005721352,0.000585472,0.001226688,0.0007221567,0.000544877],"domain_scores_gemma":[0.9906121,0.002993051,0.0008168941,0.002149224,0.002755866,0.0006728033],"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":[0.00008509443,0.00001061733,0.0009066292,0.0005895364,0.00001568738,0.00002247251,0.00002029792,0.00009058393,0.00003003896,0.001115815,0.9915094,0.005603807],"study_design_scores_gemma":[0.00009226374,0.00001066605,0.001781217,0.000562852,0.00001765522,0.00005143834,0.00008278786,0.0001325372,0.0001139247,0.002560694,0.9945769,0.00001705888],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002863527,0.0003255709,0.0002883925,0.0005646007,0.000375329,0.00005230389,0.9891283,0.0008112355,0.008167908],"genre_scores_gemma":[0.001407135,0.0003318604,0.0007784863,0.0005598423,0.0001039016,0.0002127726,0.9897038,0.0003930859,0.006509185],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.296342,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01594950679101892,"score_gpt":0.4137151089140028,"score_spread":0.3977656021229839,"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."}}