{"id":"W7026504029","doi":"","title":"Adapting to climate change: The challenges and opportunities in an uncertain policy environment","year":2009,"lang":"en","type":"other","venue":"eCommons (Cornell University)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Agriculture; Production (economics); Diversification (marketing strategy); Climate change; Agricultural productivity; Public policy","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":[0.00175305,0.000339776,0.0001954306,0.0005192541,0.003234815,0.007391736,0.001131339,0.003298148,0.05691979],"category_scores_gemma":[0.002457335,0.0001460732,0.0002251672,0.0009771144,0.001367045,0.003543867,0.002952717,0.002136927,0.008074421],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003401174,"about_ca_system_score_gemma":0.005739956,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02413629,"about_ca_topic_score_gemma":0.08961853,"domain_scores_codex":[0.9991249,0.0003174349,0.00002559373,0.00006039343,0.0002871959,0.0001844134],"domain_scores_gemma":[0.9988282,0.00033432,0.00007159552,0.0001186212,0.0002783037,0.000368956],"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":[0.00003946092,0.00009903593,0.001528618,0.00014713,0.000005460661,0.0005887756,0.000882813,0.001996315,0.0003961959,0.2307055,0.595225,0.1683857],"study_design_scores_gemma":[0.000005356207,0.000007940585,0.001135638,0.0001126311,0.000002172273,0.0001559863,0.001707583,0.0006633691,0.0001250773,0.03644301,0.9596304,0.00001082057],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.003733199,0.002487487,0.00102134,0.07278038,0.0004683569,0.00003232874,0.0002397912,0.0001000658,0.9191371],"genre_scores_gemma":[0.1727051,0.01598689,0.008372998,0.02248939,0.0009036027,0.0001659338,0.0007418899,0.0005299531,0.7781042],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.05691979,"threshold_uncertainty_score":0.1904156,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.16500234603561,"score_gpt":0.2461819576463809,"score_spread":0.08117961161077092,"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."}}