{"id":"W2608827001","doi":"10.15273/pnsis.v49i1.6983","title":"Estimage: A mobile application in agriculture for image to object count estimation","year":2017,"lang":"en","type":"article","venue":"Proceedings of the Nova Scotian Institute of Science","topic":"Smart Agriculture and AI","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Android (operating system); Pixel; Software; Computer vision; Artificial intelligence; Normalization (sociology); Cloud computing; Real-time computing; Operating system","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.0004471628,0.001255702,0.0008710361,0.001432879,0.0003531932,0.0006413971,0.001548347,0.0009186408,0.04182499],"category_scores_gemma":[0.001539284,0.0005435914,0.0004552784,0.0008864133,0.0002684406,0.000921104,0.001252608,0.0007314162,0.01955418],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000407858,"about_ca_system_score_gemma":0.0005567553,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00926305,"about_ca_topic_score_gemma":0.01394229,"domain_scores_codex":[0.9996578,0.00003354033,0.00001960907,0.00007144094,0.0001800481,0.00003754476],"domain_scores_gemma":[0.9994443,0.0001885096,0.00003923701,0.00009506741,0.0001756593,0.00005732312],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0007205562,0.0002085379,0.004236057,0.0006791407,0.0001115619,0.000906551,0.0003147166,0.004041257,0.0674397,0.002583689,0.2669669,0.6517912],"study_design_scores_gemma":[0.0005566002,0.0005043956,0.03857459,0.0003549083,0.0001656595,0.002687638,0.0002328749,0.3132753,0.1037278,0.005019185,0.5345311,0.0003698736],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.009692491,0.0008695794,0.4968601,0.0004014421,0.000148874,0.0008148589,0.009144072,0.4689174,0.01315128],"genre_scores_gemma":[0.1876237,0.001958818,0.6423044,0.001262078,0.0003383397,0.002197171,0.03619819,0.0225606,0.1055567],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.04182499,"threshold_uncertainty_score":0.1399186,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01571191999763848,"score_gpt":0.2664472603065855,"score_spread":0.250735340308947,"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."}}