{"id":"W3161913750","doi":"10.1002/leg3.98","title":"Evaluating the effect of light exposure and seed coat on lentil cotyledon color by computer vision","year":2021,"lang":"en","type":"article","venue":"Legume Science","topic":"Animal Nutrition and Physiology","field":"Agricultural and Biological Sciences","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"Natural Sciences and Engineering Research Council of Canada; Canada First Research Excellence Fund","keywords":"Coat; Cotyledon; Biology; Anthocyanin; Horticulture; Botany","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0003451826,0.000229936,0.0001824821,0.0003738799,0.00009246565,0.0002413481,0.0001030484,0.0001432316,0.0007995653],"category_scores_gemma":[0.0006095852,0.00009295126,0.0002588701,0.0001729119,0.0001422987,0.0001340478,0.0001226645,0.0002046003,0.0001097907],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001974495,"about_ca_system_score_gemma":0.000163882,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001854056,"about_ca_topic_score_gemma":0.001613151,"domain_scores_codex":[0.9998423,0.00003994106,0.000008094084,0.00002941673,0.00005953517,0.00002078506],"domain_scores_gemma":[0.9996388,0.0001395098,0.00006343772,0.00002172931,0.00009331947,0.00004321343],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0006795381,0.0001651676,0.0184417,0.00009762106,0.00004715948,0.00004765672,0.00004036774,0.0006343382,0.9571813,0.0000462867,0.00006445077,0.02255446],"study_design_scores_gemma":[0.0000246972,0.001955844,0.650694,0.00001070687,0.00008579826,0.000165345,0.00007373242,0.01530863,0.3310205,0.00008021208,0.0005571428,0.00002340021],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9931089,0.0002858794,0.005988326,0.00001192353,0.000007003347,0.00002696357,0.00005017197,0.00006121604,0.0004597589],"genre_scores_gemma":[0.99385,0.0001631642,0.00534078,0.00001943414,0.000003337325,0.00002480304,0.00007949585,0.00001063177,0.0005083937],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001854056,"threshold_uncertainty_score":0.003686547,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01442962996960648,"score_gpt":0.283015716444405,"score_spread":0.2685860864747985,"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."}}