{"id":"W6889234835","doi":"10.25545/zcxqmo","title":"Transforming Aluminium Waste: Sustainable Conversion to Commercial MOFs, Hydrogen Fuel, and Essential Aluminium Feedstocks","year":2025,"lang":"en","type":"dataset","venue":"UNB Dataverse","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of New Brunswick","funders":"","keywords":"Aluminium; Raw material; Hydrogen; Hydrogen production; Production (economics)","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["metaepi_narrow","insufficient_payload"],"category_scores_codex":[0.00122391,0.001486397,0.001600055,0.001932484,0.0008053551,0.0004158997,0.002175496,0.001234946,0.002721942],"category_scores_gemma":[0.0003654796,0.001712914,0.0003226129,0.001453109,0.0005461142,0.001229507,0.002650041,0.001458853,0.004716315],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000867347,"about_ca_system_score_gemma":0.001246852,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006831391,"about_ca_topic_score_gemma":0.001312665,"domain_scores_codex":[0.9928546,0.0003918195,0.001191283,0.002115823,0.001342467,0.002104006],"domain_scores_gemma":[0.9949739,0.0002786117,0.0004725511,0.002909228,0.0003942194,0.0009714722],"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":[0.001221093,0.0003267088,0.00001010301,0.002333531,0.0004068525,0.0008433363,0.000383173,0.00002883215,0.00047019,0.00007711973,0.9936889,0.0002101561],"study_design_scores_gemma":[0.003479762,0.0003339791,0.000003831489,0.0004088061,0.001671822,0.0000651498,0.003914146,0.00007290451,0.003656293,0.00001056064,0.984772,0.001610774],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.002653245,0.00006673456,0.00005839138,0.0001612439,0.001284858,0.003406409,0.9914484,0.0002229207,0.0006977788],"genre_scores_gemma":[0.001063431,0.0002958064,0.0001487532,0.0008392801,0.0008593734,0.0001545969,0.9930593,0.0001605978,0.003418817],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.008916933,"threshold_uncertainty_score":0.9997885,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008084488991214027,"score_gpt":0.2543938175672523,"score_spread":0.2463093285760382,"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."}}