{"id":"W2742376239","doi":"10.3390/agriculture7080069","title":"Adoption of Web-Based Spatial Tools by Agricultural Producers: Conversations with Seven Northeastern Ontario Farmers Using the GeoVisage Decision Support System","year":2017,"lang":"en","type":"article","venue":"Agriculture","topic":"Agricultural Innovations and Practices","field":"Agricultural and Biological Sciences","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Nipissing University","funders":"Natural Sciences and Engineering Research Council of Canada; Northern Ontario Heritage Fund Corporation","keywords":"Thematic map; Agriculture; Thematic analysis; Resource (disambiguation); Geography; Environmental resource management; Qualitative property; Cash crop; Business; Qualitative research; Computer science; Cartography; Environmental science; Sociology","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":["sts"],"consensus_categories":[],"category_scores_codex":[0.0002753168,0.0003052782,0.0002928541,0.00001157052,0.001429966,0.0005223722,0.0006195394,0.0001781038,0.0002082438],"category_scores_gemma":[0.00005216447,0.00007662498,0.0001373936,0.0003031413,0.0001443955,0.00100418,0.00008752842,0.0002972482,0.00001868563],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001538915,"about_ca_system_score_gemma":0.0000695935,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.03278651,"about_ca_topic_score_gemma":0.128186,"domain_scores_codex":[0.998228,0.0000898031,0.0004104114,0.0004257927,0.0005276219,0.0003183704],"domain_scores_gemma":[0.9980198,0.0001708271,0.0009240719,0.0002168029,0.0005779203,0.00009061945],"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":[0.0005780737,0.0006323851,0.1967925,0.0001204145,0.000406205,0.00002602047,0.002142681,0.001715638,0.7242091,0.0004228319,0.0221661,0.05078802],"study_design_scores_gemma":[0.0006624931,0.000432182,0.9561794,0.000200166,0.0002052752,0.00007606333,0.00925859,0.000242474,0.00360085,0.000004286833,0.02865418,0.0004839896],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9953852,0.00003091244,0.00006948396,0.002078345,0.000215964,0.0007273396,0.0002231474,0.00005989438,0.001209733],"genre_scores_gemma":[0.9978493,0.0000052105,0.0003177382,0.00008160432,0.0002752868,0.00003652555,0.0008102003,0.000001958547,0.0006222067],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.759387,"threshold_uncertainty_score":0.9998701,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03000901579703519,"score_gpt":0.2358463799661029,"score_spread":0.2058373641690677,"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."}}