{"id":"W4399544028","doi":"10.23977/jaip.2024.070213","title":"Research on Detection of Floating Objects in River and Lake Based on AI Image Recognition","year":2024,"lang":"en","type":"article","venue":"Journal of Artificial Intelligence Practice","topic":"Advanced Technologies in Various Fields","field":"Computer Science","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Artificial intelligence; Computer science; Computer vision; Image (mathematics); Remote sensing; Pattern recognition (psychology); Geology","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":[0.0004995026,0.000523609,0.0004453027,0.00129408,0.0003293906,0.0008865218,0.0008194779,0.0005525998,0.0006585016],"category_scores_gemma":[0.001051078,0.0002530458,0.0005006135,0.001056302,0.0005973689,0.001671941,0.0006144345,0.0005477583,0.0002811251],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004841685,"about_ca_system_score_gemma":0.0006189193,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004712937,"about_ca_topic_score_gemma":0.004398791,"domain_scores_codex":[0.9995956,0.00004268427,0.00002327222,0.0001121729,0.0001711504,0.00005518942],"domain_scores_gemma":[0.9995869,0.0001262207,0.0000613951,0.00003984234,0.0001560746,0.00002961823],"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":[0.0001990533,0.0001541385,0.01908314,0.0006026801,0.000167692,0.0004926274,0.0004830683,0.07189045,0.1109542,0.007271344,0.002714986,0.7859867],"study_design_scores_gemma":[0.00001169668,0.0002359244,0.01915916,0.00007887879,0.0001145674,0.0004855426,0.0003151161,0.9054683,0.06029993,0.004945042,0.008819637,0.00006615229],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2282802,0.005547605,0.7538744,0.0007562105,0.000215453,0.00009729247,0.0001801348,0.001384122,0.009664592],"genre_scores_gemma":[0.8267937,0.003713588,0.1635216,0.0003068037,0.0001185159,0.00005555638,0.0003427361,0.00006030778,0.005087123],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004712937,"threshold_uncertainty_score":0.009371042,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09374987358419443,"score_gpt":0.4178426871265695,"score_spread":0.3240928135423751,"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."}}