{"id":"W2359952211","doi":"","title":"Research on Seed Images Obtained by Scanning","year":2003,"lang":"en","type":"article","venue":"","topic":"Remote Sensing and Land Use","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"CAE (Canada)","funders":"","keywords":"Artificial intelligence; Computer vision; Computer science; Image (mathematics)","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":[0.0005520426,0.0004026646,0.0004324585,0.001462814,0.0003288356,0.0004257295,0.0003867904,0.0004966576,0.001957408],"category_scores_gemma":[0.001366219,0.0002840834,0.0002856293,0.001284039,0.0003770798,0.001189177,0.000185682,0.0004188059,0.0006041494],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002532389,"about_ca_system_score_gemma":0.0003180478,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001468163,"about_ca_topic_score_gemma":0.001728532,"domain_scores_codex":[0.9997786,0.00002935914,0.00001112737,0.0000530716,0.0001114774,0.0000164911],"domain_scores_gemma":[0.9993234,0.0002290438,0.00003437933,0.00008902603,0.0002893389,0.00003476097],"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":[0.00009433535,0.0000252776,0.001753219,0.0003301101,0.00001751606,0.00035061,0.0001877101,0.0007098055,0.9128686,0.001704126,0.0004356719,0.08152302],"study_design_scores_gemma":[0.00003538189,0.0003319002,0.01840944,0.00005707416,0.00007286215,0.0031295,0.0001902713,0.01472316,0.9459517,0.00112154,0.01593283,0.00004439221],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5112393,0.005331237,0.4586425,0.0004358146,0.0001906497,0.0002220329,0.0004890797,0.001177101,0.02227226],"genre_scores_gemma":[0.5277784,0.003988239,0.4581722,0.0001246617,0.00006255752,0.00009688516,0.0008109527,0.0002066536,0.008759418],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001957408,"threshold_uncertainty_score":0.006548226,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03931986327597428,"score_gpt":0.2932890094628182,"score_spread":0.2539691461868439,"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."}}