{"id":"W6958677776","doi":"10.6084/m9.figshare.23657148","title":"<strong>IDENT-MLT</strong> Fall 2020 and spring 2021 <em><strong>O</strong></em><em><strong>rthomosaics</strong></em>","year":2023,"lang":"en","type":"other","venue":"Figshare","topic":"Plant Pathogens and Resistance","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"RGB color model; Spring (device); Raster graphics; Phenology; Drone","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002818558,0.0005837164,0.0003259674,0.0009525755,0.0006649484,0.0008005957,0.000574217,0.0004346353,0.06555133],"category_scores_gemma":[0.0008577842,0.000215772,0.0003936174,0.001170432,0.0002505811,0.000737482,0.0008138205,0.000597384,0.03817306],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008276311,"about_ca_system_score_gemma":0.001387307,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1174893,"about_ca_topic_score_gemma":0.2841246,"domain_scores_codex":[0.999786,0.00001101571,0.00000746288,0.00006123995,0.00007932486,0.00005495506],"domain_scores_gemma":[0.99951,0.00003102349,0.00003852278,0.00009947305,0.0002226291,0.00009843856],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003569003,0.00006333827,0.01817774,0.0004509666,0.00007270964,0.0002815242,0.0003517522,0.001819486,0.01075763,0.0008247938,0.9139503,0.05289277],"study_design_scores_gemma":[0.0001003542,0.00006140598,0.1607255,0.000184363,0.00003691134,0.0001244752,0.000725702,0.002288099,0.005155065,0.0004973076,0.8300335,0.00006733902],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.0398775,0.0003107573,0.011624,0.0007112314,0.001310248,0.0005920336,0.8134457,0.01170377,0.1204247],"genre_scores_gemma":[0.09703191,0.0003379981,0.0190065,0.0005419811,0.0002958325,0.000681566,0.834934,0.006328808,0.04084127],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.9344487,"threshold_uncertainty_score":0.2336109,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02662467849788,"score_gpt":0.2185787545520304,"score_spread":0.1919540760541504,"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."}}