{"id":"W7043757102","doi":"","title":"Using GPS, GIS &amp; remote sensing to understand Niagara Terroir : Pinot noir in the Four Mile Creek &amp; St. David's Bench sub-appellations","year":2012,"lang":"en","type":"other","venue":"Brock University Digital Repository (Brock University)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Vineyard; Vine; Terroir; Pruning; Hydrology (agriculture); Footprint; Satellite imagery; Vegetation (pathology)","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":[0.00009752773,0.0001730966,0.0001091843,0.0005073064,0.0007207982,0.0006911962,0.0003192048,0.0001344705,0.004764446],"category_scores_gemma":[0.0002896871,0.0001503306,0.0000874371,0.001010481,0.0001459364,0.0002297412,0.0003909397,0.000155538,0.0008511822],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002036249,"about_ca_system_score_gemma":0.002435304,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8167162,"about_ca_topic_score_gemma":0.9703999,"domain_scores_codex":[0.9998937,0.000008517107,0.000004320893,0.00003668663,0.00004008985,0.00001683382],"domain_scores_gemma":[0.9998689,0.00001185402,0.00001749543,0.00001200522,0.00006924454,0.00002051561],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001359904,0.0001001125,0.753422,0.0002993213,0.00004708521,0.0007995258,0.01336082,0.002640329,0.0205487,0.001397404,0.04119092,0.1660577],"study_design_scores_gemma":[0.000006427069,0.00001701382,0.9580222,0.00003166756,0.000008203603,0.00005037081,0.003899663,0.002234882,0.0006522883,0.00008001276,0.03498732,0.000009890868],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8820688,0.0003086662,0.004906858,0.0004625386,0.00002982285,0.0003949826,0.01909778,0.0003152324,0.09241527],"genre_scores_gemma":[0.9170923,0.0003789673,0.02228482,0.0001271801,0.0000142564,0.000260831,0.01140446,0.00008628669,0.04835094],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1832838,"threshold_uncertainty_score":0.3687264,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0462766228933848,"score_gpt":0.2331127441552756,"score_spread":0.1868361212618908,"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."}}