{"id":"W6891462351","doi":"10.3886/e117742v1-148561","title":"Data and Code for Climate Change and Agriculture: Subsistence Farmers’ Response to Extreme Heat","year":2024,"lang":"en","type":"dataset","venue":"ICPSR Data Holdings","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Subsistence agriculture; Climate change; Extreme heat; Damages; Agriculture; Extreme weather; Effects of global warming","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","scholarly_communication","open_science","insufficient_payload"],"consensus_categories":["open_science"],"category_scores_codex":[0.004580924,0.001170888,0.001134434,0.0006496831,0.0004079299,0.001456405,0.005927227,0.0005943793,0.00005756883],"category_scores_gemma":[0.001729255,0.001012007,0.00006735382,0.0009884371,0.000358765,0.002104765,0.01700716,0.0007843199,0.002759797],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000163105,"about_ca_system_score_gemma":0.00009802514,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004235971,"about_ca_topic_score_gemma":0.004653984,"domain_scores_codex":[0.9923019,0.0002351128,0.0008075326,0.004449268,0.0008370424,0.001369118],"domain_scores_gemma":[0.9890379,0.0007529401,0.0002891726,0.009054784,0.0001467106,0.0007184432],"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":[0.001627953,0.00006904472,0.00002379272,0.001512405,0.0001621738,0.0001831674,0.0001573359,7.578577e-8,0.005098237,0.000008083859,0.9907486,0.0004091413],"study_design_scores_gemma":[0.0008047049,0.0002116641,0.0003352418,0.001341432,0.001238889,0.0003329182,0.0004616941,0.0002086483,0.00003840516,0.00001216656,0.9937245,0.001289775],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00149517,0.01013608,0.000006446621,0.001754127,0.0007221936,0.002813336,0.9827915,0.0002753704,0.000005718592],"genre_scores_gemma":[0.00007161601,0.006980723,0.001439628,0.001139309,0.0007562611,0.0004211179,0.9888611,0.0002638832,0.00006639757],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.01107993,"threshold_uncertainty_score":0.9995802,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2299613627527865,"score_gpt":0.3515899445598843,"score_spread":0.1216285818070978,"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."}}