{"id":"W2811468980","doi":"","title":"An Exploration of how the Relationship between Farmers and Retailers influences Precision Agriculture Adoption","year":2018,"lang":"en","type":"dissertation","venue":"The Atrium (University of Guelph)","topic":"Food Supply Chain Traceability","field":"Agricultural and Biological Sciences","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Agriculture; Business; Precision agriculture; Economic geography; Marketing; Industrial organization; Agricultural economics; Regional science; Geography; Economics; Archaeology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005930859,0.0001549724,0.0002234535,0.00002488227,0.0005302581,0.00003365106,0.0005501786,0.000290286,0.00004278918],"category_scores_gemma":[0.0001409585,0.0000580354,0.0001157512,0.0004402271,0.0003148606,0.0007470427,0.0000422105,0.0002390803,0.000003436363],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002526812,"about_ca_system_score_gemma":0.00001672809,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006227258,"about_ca_topic_score_gemma":0.003556485,"domain_scores_codex":[0.9987704,0.0003221408,0.0001557156,0.0002779677,0.0003480771,0.0001256545],"domain_scores_gemma":[0.9984335,0.0006073144,0.0004758327,0.0001555648,0.0002780687,0.0000497425],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.001328386,0.0002464122,0.4227999,0.0003752859,0.0002398589,0.000001678363,0.04008468,0.00008524324,0.4527552,0.00120201,0.002830072,0.07805124],"study_design_scores_gemma":[0.00007831544,0.0004013519,0.9341174,0.00004762262,0.0001284028,2.798053e-7,0.06287627,0.00001148807,0.0002490862,0.001414081,0.0005600615,0.0001156094],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9966012,0.0001439252,0.00001242108,0.002443736,0.00008206508,0.0004329654,0.00008838434,0.00002459633,0.0001707086],"genre_scores_gemma":[0.9984124,0.00008322904,0.00009194668,0.000005058192,0.0001134738,7.474849e-7,0.000867426,0.000001200615,0.0004245123],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5113176,"threshold_uncertainty_score":0.407837,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05408633880054912,"score_gpt":0.2449714388164926,"score_spread":0.1908851000159435,"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."}}