{"id":"W4324095517","doi":"10.3390/foods12061176","title":"Assessing Future Climate Change Impacts on Potato Yields — A Case Study for Prince Edward Island, Canada","year":2023,"lang":"en","type":"article","venue":"Foods","topic":"Potato Plant Research","field":"Agricultural and Biological Sciences","cited_by":44,"is_retracted":false,"has_abstract":true,"ca_institutions":"Government of Prince Edward Island; University of Prince Edward Island","funders":"Gouvernement de l'Île-du-Prince-Édouard; Government of Canada; Philanthropic Educational Organization","keywords":"Climate change; Geography; Environmental ethics; Environmental science; Ecology; Biology; Philosophy","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004151488,0.0001354505,0.0001575338,0.00001916959,0.0003641848,0.0001515807,0.0001898675,0.00006509051,0.00004307052],"category_scores_gemma":[0.00006327724,0.00005082969,0.00004544654,0.0004214897,0.00001121444,0.0001286245,0.0001007621,0.0001559389,0.00001714305],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006277365,"about_ca_system_score_gemma":0.00004874838,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.1717549,"about_ca_topic_score_gemma":0.9221665,"domain_scores_codex":[0.9985801,0.00007801004,0.0001328446,0.0002883631,0.0003170846,0.0006036064],"domain_scores_gemma":[0.9993145,0.0003560247,0.00004681764,0.00007111716,0.00004568542,0.0001658132],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0005523954,0.000921766,0.2575735,0.0002874679,0.0001890706,0.02581515,0.004146095,0.00001816707,0.01612353,0.0002221305,0.0543494,0.6398013],"study_design_scores_gemma":[0.0009997253,0.004077426,0.8899615,0.0001375366,0.0000375385,0.0009099693,0.03292144,0.0007500933,0.001123421,0.00007834215,0.06818173,0.0008212808],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9958771,0.00003260077,2.875609e-7,0.002413151,0.000270644,0.0007138279,0.0003357966,0.00007418232,0.0002824324],"genre_scores_gemma":[0.9986576,0.00002091942,0.00001050659,0.0002603487,0.0007489397,0.0001282884,0.00007607915,0.000001753885,0.00009558118],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7504115,"threshold_uncertainty_score":0.8337604,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08430593108270254,"score_gpt":0.3380801841206055,"score_spread":0.253774253037903,"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."}}