{"id":"W4365147266","doi":"10.1515/iupac.94.0414","title":"Dispersion Forces","year":2023,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Various Chemistry Research Topics","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Glossary; Terminology; Meaning (existential); Abandonment (legal); Field (mathematics); Computer science; Epistemology; Linguistics; Mathematics; Philosophy; Political science","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":[0.001037059,0.003218855,0.001759284,0.004074513,0.001680966,0.00370651,0.003805178,0.002232697,0.1313739],"category_scores_gemma":[0.005673953,0.0007534964,0.002464158,0.005577833,0.0004528236,0.002743684,0.002223111,0.002751195,0.245982],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001520246,"about_ca_system_score_gemma":0.001926451,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02675059,"about_ca_topic_score_gemma":0.05810858,"domain_scores_codex":[0.9987167,0.0001752211,0.0001232147,0.0004207597,0.0003919807,0.0001722172],"domain_scores_gemma":[0.9984933,0.0003705407,0.0001149041,0.0005251591,0.0003919031,0.0001042133],"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":[0.00003951435,0.00002292479,0.0008538694,0.0002750121,0.00002589497,0.00001624297,0.00001548024,0.0006154321,0.00007412198,0.001349505,0.9897218,0.006990164],"study_design_scores_gemma":[0.0001184866,0.00001759115,0.002852132,0.0002817614,0.00002305129,0.000082727,0.00006915264,0.002290815,0.0003600828,0.006197967,0.9876645,0.00004180571],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0004032275,0.0003486623,0.0006355758,0.0001472667,0.0001460478,0.00002579341,0.9914309,0.001715768,0.005146645],"genre_scores_gemma":[0.0008001113,0.000178458,0.000977519,0.00007794089,0.00002895001,0.0000712589,0.9950737,0.0002544278,0.002537492],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1313739,"threshold_uncertainty_score":0.4394895,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02118578835523844,"score_gpt":0.4166824876489872,"score_spread":0.3954966992937488,"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."}}