{"id":"W2346392336","doi":"10.1007/978-3-642-03259-2_7","title":"Rover vision—advanced capabilities","year":2015,"lang":"en","type":"book-chapter","venue":"","topic":"Food Supply Chain Traceability","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Carleton University","funders":"","keywords":"Computer science; Computer vision; Artificial intelligence","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.0001736216,0.0007769375,0.0002821083,0.0008095657,0.0003043111,0.001997617,0.000825392,0.001104045,0.02289218],"category_scores_gemma":[0.0003446737,0.0003214209,0.0002287018,0.0008453453,0.0006581089,0.002673286,0.001059101,0.001134395,0.01067108],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000629565,"about_ca_system_score_gemma":0.0004015021,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001273288,"about_ca_topic_score_gemma":0.002063545,"domain_scores_codex":[0.9998587,0.00001439966,0.000004179189,0.00003295523,0.00007702544,0.00001266278],"domain_scores_gemma":[0.9999225,0.00002480525,0.000004380792,0.00001231998,0.00002751541,0.00000846316],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001973311,0.00001461505,0.00008883681,0.0002844969,0.000009920849,0.00006798789,0.0001496449,0.002812488,0.00518739,0.136352,0.1046603,0.7503525],"study_design_scores_gemma":[0.000001611083,0.00001263669,0.00013975,0.000138573,0.000003123347,0.0001980121,0.00004256282,0.001897523,0.001159181,0.02829582,0.9681007,0.0000105066],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00214931,0.06723898,0.1786329,0.001726129,0.00279705,0.00004663116,0.00025911,0.001323191,0.7458267],"genre_scores_gemma":[0.03913867,0.06152994,0.08467578,0.001115874,0.001490881,0.00008653623,0.0008099638,0.0007043318,0.8104481],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.02289218,"threshold_uncertainty_score":0.07658195,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03004617216976014,"score_gpt":0.2352040601786821,"score_spread":0.205157888008922,"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."}}