{"id":"W2889443949","doi":"10.30919/es8d752","title":"Indium Recovery from Waste Liquid Crystal Display via Chloride Volatilization Process: Thermodynamic Computation","year":2018,"lang":"en","type":"article","venue":"Engineered Science","topic":"Extraction and Separation Processes","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ministry of Agriculture","funders":"Shanghai Polytechnic University; National Natural Science Foundation of China","keywords":"Indium; Volatilisation; Liquid-crystal display; Vaporization; Chloride; Materials science; Evaporation; Inorganic chemistry; Boiling point; Scrap; Pyrolysis; Chemistry; Chemical engineering; Organic chemistry; Metallurgy; Thermodynamics","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":[0.0002179249,0.0002440014,0.0003920931,0.0003245652,0.0004032128,0.0004337619,0.0003935448,0.0004559883,0.001358763],"category_scores_gemma":[0.0005519705,0.0002501307,0.0004987005,0.0004156239,0.0003703479,0.0008367064,0.0002606706,0.0002553414,0.0001617884],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006617769,"about_ca_system_score_gemma":0.0007654618,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005808912,"about_ca_topic_score_gemma":0.005048585,"domain_scores_codex":[0.9999359,0.000009127569,0.000003395249,0.00001259495,0.0000223674,0.00001671761],"domain_scores_gemma":[0.99991,0.00004260073,0.00001177539,0.000007643589,0.00002231462,0.000005604235],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001950432,0.0001285686,0.003942574,0.0004463967,0.0000476713,0.0003924913,0.00006846616,0.9049653,0.06116277,0.01285938,0.0007400271,0.01505144],"study_design_scores_gemma":[0.00001105146,0.00002170697,0.0004056864,0.00000314251,0.000007906722,0.00001788861,0.00001108679,0.9909752,0.007483419,0.0007379691,0.0003185514,0.000006374192],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8865345,0.00164576,0.09504794,0.000517621,0.00005303556,0.00007010013,0.000405639,0.0002234787,0.01550201],"genre_scores_gemma":[0.9916164,0.0004628775,0.005791882,0.00002671878,0.000009315101,0.00004464597,0.0001233346,0.00003352878,0.001891217],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005808912,"threshold_uncertainty_score":0.01155019,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007328613193399837,"score_gpt":0.2395699872904289,"score_spread":0.2322413740970291,"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."}}