{"id":"W4411238628","doi":"10.2218/himalaya.2024.9090","title":"The Tin State","year":2024,"lang":"en","type":"article","venue":"HIMALAYA","topic":"Water Governance and Infrastructure","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Tin; State (computer science); Environmental science; Materials science; Computer science; Metallurgy; Programming language","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":[],"consensus_categories":[],"category_scores_codex":[0.0002107271,0.0000354266,0.00003025144,0.000007566931,0.0003256884,0.0002109005,0.0001405671,0.00002102719,0.0002165904],"category_scores_gemma":[0.00003000108,0.00002082396,0.00002758266,0.000110629,0.0001556547,0.0001288012,0.00001761132,0.00008008574,0.0004203552],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000313543,"about_ca_system_score_gemma":0.00007637914,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003882441,"about_ca_topic_score_gemma":0.0004812016,"domain_scores_codex":[0.9994978,0.00003012574,0.00005438371,0.00007955835,0.0001629665,0.0001752198],"domain_scores_gemma":[0.999823,0.0000499935,0.00001041694,0.00007264406,0.00001395136,0.0000299434],"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":[0.0000117535,0.000004591881,0.003696075,0.00001135682,0.00002339656,0.00003368754,0.03414847,0.000009401183,0.0002805247,0.2838546,0.5560632,0.1218629],"study_design_scores_gemma":[0.00001485944,0.000005013447,0.002493001,0.000008338685,0.000001691123,3.883104e-7,0.0005672686,0.00001776968,0.0002297062,0.01105802,0.9855691,0.00003480274],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5758278,0.00299063,0.00008334979,0.0198036,0.002949641,0.0001668883,0.00001767288,0.0002965041,0.3978639],"genre_scores_gemma":[0.9510742,0.0004270582,0.0000341663,0.0001747128,0.0003836642,0.000004154559,5.538155e-7,0.000005448284,0.04789601],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4295059,"threshold_uncertainty_score":0.5402956,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006402551513776574,"score_gpt":0.2818991516039128,"score_spread":0.2754966000901362,"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."}}