{"id":"W4236055543","doi":"10.12681/eadd/47285","title":"Σύγχρονη διαχείριση αμπελώνων με χρήση συστημάτων πληροφορικής και τηλεπικοινωνιών στο πλαίσιο εφαρμογής γεωργίας ακριβείας","year":2014,"lang":"el","type":"dissertation","venue":"","topic":"Horticultural and Viticultural Research","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Global Positioning System; Normalized Difference Vegetation Index; Differential GPS; Remote sensing; Geography; Cartography; Mathematics; Geology; Computer science; Climate change; Telecommunications; Oceanography","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00165553,0.0007208185,0.0004995274,0.001162706,0.002337225,0.005954424,0.001245618,0.002297913,0.09878902],"category_scores_gemma":[0.007506914,0.0004912976,0.0004914583,0.001056272,0.002650591,0.005261351,0.003040243,0.002517951,0.03336806],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002317112,"about_ca_system_score_gemma":0.003249642,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004405207,"about_ca_topic_score_gemma":0.003432681,"domain_scores_codex":[0.9977952,0.0003260456,0.00007754327,0.0004982937,0.001015616,0.000287333],"domain_scores_gemma":[0.997118,0.0008228603,0.0002032334,0.0004364525,0.001038843,0.0003805481],"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":[0.000425773,0.0002552165,0.003483923,0.001082106,0.0000647281,0.0009806596,0.01177649,0.001904247,0.02959236,0.6280417,0.0785541,0.2438388],"study_design_scores_gemma":[0.0000472785,0.00009777712,0.004390538,0.0003763867,0.00004190813,0.0004552653,0.006692893,0.001338815,0.009473803,0.1314131,0.8455937,0.00007864147],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.04603155,0.003488226,0.09032299,0.01659456,0.002478062,0.0002711259,0.001136277,0.00136865,0.8383085],"genre_scores_gemma":[0.4166025,0.00498079,0.05182907,0.004466723,0.0007952614,0.000484223,0.001295839,0.001279857,0.5182657],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.09878902,"threshold_uncertainty_score":0.3304822,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03800722631872638,"score_gpt":0.3088486438125003,"score_spread":0.2708414174937739,"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."}}