{"id":"W7062717569","doi":"","title":"Using GPS, GIS &amp; remote sensing to understand Niagara Terroir","year":2012,"lang":"en","type":"other","venue":"Brock University Digital Repository (Brock University)","topic":"Magnetic confinement fusion research","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Brock University","funders":"","keywords":"Terroir; Vineyard; Vine; Multispectral image; Vegetation (pathology); Soil texture; Satellite imagery; Wine; Berry","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0001529327,0.0001882914,0.0001232575,0.000782313,0.0002955753,0.0007644471,0.0002201968,0.0001599585,0.002802468],"category_scores_gemma":[0.0004696829,0.0001334386,0.0001146187,0.001248697,0.0001191087,0.0005044722,0.0002475362,0.0001545231,0.0008538931],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006182318,"about_ca_system_score_gemma":0.0009252179,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3477947,"about_ca_topic_score_gemma":0.6936754,"domain_scores_codex":[0.9999155,0.00001614664,0.000005291276,0.00002548278,0.00002747214,0.00001026661],"domain_scores_gemma":[0.9998499,0.00002642099,0.00002874096,0.00002502475,0.00005646377,0.00001337275],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001027089,0.0001237343,0.6827741,0.0002907131,0.0000854995,0.0004640873,0.00383313,0.0071994,0.01944814,0.002025686,0.01254746,0.2711053],"study_design_scores_gemma":[0.00001683057,0.00004215432,0.9268742,0.00008039952,0.00003288648,0.0001000047,0.004085046,0.0239225,0.001575633,0.0006141647,0.04263162,0.0000246337],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.8507379,0.0009061538,0.0311281,0.0009297482,0.00004242999,0.0003279035,0.01943162,0.001066959,0.0954292],"genre_scores_gemma":[0.8867654,0.001084007,0.08141978,0.0001827022,0.00002107266,0.0001589713,0.01122178,0.00009679707,0.01904963],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.6522053,"threshold_uncertainty_score":0.6915406,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02475372446995952,"score_gpt":0.2259053972229526,"score_spread":0.2011516727529931,"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."}}