{"id":"W4409538862","doi":"10.1177/01622439251321233","title":"Agriculture by Algorithm: Big Data, Digitalization, and Biotechnology Under Climate Change","year":2025,"lang":"en","type":"article","venue":"Science Technology & Human Values","topic":"Bioeconomy and Sustainability Development","field":"Agricultural and Biological Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Agriculture; Big data; Climate change; Agricultural biotechnology; Data science; Political science; Biotechnology; Computer science; Biology; Data mining; Ecology","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":["sts"],"consensus_categories":[],"category_scores_codex":[0.004698118,0.0001706113,0.000166755,0.004850089,0.001559015,0.007525432,0.0003867119,0.0008151776,0.002479106],"category_scores_gemma":[0.01343548,0.0001030304,0.0001887231,0.01011986,0.004783703,0.01011711,0.001726102,0.0009110468,0.0002823026],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002405723,"about_ca_system_score_gemma":0.002284307,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002603876,"about_ca_topic_score_gemma":0.004879472,"domain_scores_codex":[0.9976451,0.001130628,0.0001512533,0.0002460957,0.0007285042,0.00009830943],"domain_scores_gemma":[0.9797333,0.01587508,0.002042193,0.001170345,0.0009623914,0.000216616],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001416096,0.00006501043,0.0303908,0.0006916475,0.00003818032,0.0007331292,0.04591399,0.002132775,0.002433854,0.6725351,0.01688444,0.2280394],"study_design_scores_gemma":[0.00001417476,0.00006730871,0.04290983,0.001307191,0.0000373749,0.0009327558,0.06833015,0.009894444,0.004599176,0.2735308,0.598271,0.00010576],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5596782,0.01806685,0.1465588,0.09407683,0.001139538,0.000292192,0.00646978,0.0005783488,0.1731394],"genre_scores_gemma":[0.92732,0.006181004,0.05455349,0.00202483,0.0003841413,0.0001206809,0.001840122,0.0001456034,0.007430142],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.998441,"threshold_uncertainty_score":0.02484632,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02837321550387641,"score_gpt":0.2627408679853199,"score_spread":0.2343676524814435,"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."}}