{"id":"W4255068310","doi":"10.1515/iupac.88.1521","title":"Algorithm of Summing Bond Orders","year":2017,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Water Quality Monitoring and Analysis","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Bond; Ionic bonding; Bond graph; Graph; Chemical bond; Chemistry; State (computer science); Computational chemistry; Combinatorics; Mathematics; Crystallography; Ion; Algorithm; Organic chemistry","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":[0.00151351,0.003392006,0.001756263,0.006432005,0.001245718,0.004482455,0.003468422,0.001911321,0.03707984],"category_scores_gemma":[0.0101975,0.001056248,0.003092808,0.005201565,0.0005421811,0.003110464,0.002224159,0.003200111,0.03983048],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002016571,"about_ca_system_score_gemma":0.003691329,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01528119,"about_ca_topic_score_gemma":0.03472322,"domain_scores_codex":[0.997943,0.0001892957,0.0002581995,0.001007247,0.0004054215,0.0001968706],"domain_scores_gemma":[0.9981869,0.0005631481,0.00009495886,0.0005992742,0.0004521834,0.0001035972],"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":[0.0005704691,0.0002120143,0.007662092,0.001535484,0.000322247,0.0001369792,0.00009173625,0.008224102,0.0018626,0.008076895,0.8347347,0.1365706],"study_design_scores_gemma":[0.001019669,0.0002419936,0.008849407,0.0008184495,0.0003473105,0.001010509,0.0003325122,0.09775298,0.007815814,0.09596576,0.7856863,0.0001593651],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.005130317,0.002104705,0.02185375,0.0007623161,0.0003541301,0.0003577423,0.944775,0.01938019,0.005281902],"genre_scores_gemma":[0.006270659,0.0006057643,0.03676001,0.0001654443,0.00005094947,0.0003689272,0.953008,0.0005668508,0.00220351],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.03707984,"threshold_uncertainty_score":0.1240444,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01833293679114956,"score_gpt":0.403848610576734,"score_spread":0.3855156737855844,"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."}}