{"id":"W3171690480","doi":"10.3390/rs13122308","title":"Spatial Super Resolution of Real-World Aerial Images for Image-Based Plant Phenotyping","year":2021,"lang":"en","type":"article","venue":"Remote Sensing","topic":"Advanced Image Processing Techniques","field":"Computer Science","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"Agriculture and Agri-Food Canada; University of Saskatchewan","funders":"","keywords":"Computer science; Artificial intelligence; Image resolution; Aerial image; Computer vision; Remote sensing; Image (mathematics); Geography","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":[0.000454842,0.0006797856,0.0003464938,0.0007011708,0.0001351941,0.0005425192,0.0004769023,0.0005216562,0.001012339],"category_scores_gemma":[0.0009776568,0.000297691,0.000572537,0.0005945222,0.0002516499,0.0007310908,0.0004991186,0.0007997013,0.0004963464],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000356203,"about_ca_system_score_gemma":0.0003243354,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0023574,"about_ca_topic_score_gemma":0.004869453,"domain_scores_codex":[0.9998293,0.00002812557,0.000007264833,0.00005868943,0.00005449794,0.00002212998],"domain_scores_gemma":[0.9996269,0.0001355891,0.00005375893,0.00008837067,0.00007574604,0.00001966426],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003350854,0.0001964296,0.007342513,0.0004333502,0.0001864057,0.00041356,0.0002600844,0.2739048,0.4489763,0.002241814,0.003863172,0.2618465],"study_design_scores_gemma":[0.00001041421,0.00006235881,0.008923995,0.00002388834,0.00004632033,0.0002092813,0.00007377941,0.912677,0.07333754,0.001643393,0.002961553,0.00003051184],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1453818,0.0008062292,0.8469294,0.0002384555,0.00004090923,0.00007586874,0.0007760939,0.003229318,0.002521894],"genre_scores_gemma":[0.5304926,0.0007210075,0.4657021,0.0001742628,0.0000177648,0.00009676713,0.001421134,0.0002599964,0.001114389],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0023574,"threshold_uncertainty_score":0.004687428,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02116092631474593,"score_gpt":0.2860947812320305,"score_spread":0.2649338549172846,"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."}}