{"id":"W4393310176","doi":"10.1051/e3sconf/202450701060","title":"Smart garden with intruder detection system","year":2024,"lang":"en","type":"article","venue":"E3S Web of Conferences","topic":"Smart Agriculture and AI","field":"Agricultural and Biological Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Horizon College and Seminary","funders":"","keywords":"Computer science; Business; Environmental science","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001002642,0.0001014555,0.0001413267,0.00001283522,0.00006514286,0.00009846668,0.0001280857,0.00006268489,0.0003510148],"category_scores_gemma":[0.000005608224,0.00002689312,0.00005192076,0.0002591387,0.00005058683,0.00008886305,0.0000194427,0.00007817784,0.00005525757],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000009416833,"about_ca_system_score_gemma":0.00004238764,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002274448,"about_ca_topic_score_gemma":0.002166206,"domain_scores_codex":[0.9993294,0.00003158689,0.0001363954,0.0001887101,0.0001834431,0.0001304249],"domain_scores_gemma":[0.9997256,0.00009000256,0.00003886712,0.00002934061,0.00007286796,0.00004332418],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001077819,0.00008591075,0.0352933,0.0002160223,0.0002261761,0.00004244896,0.0003642138,0.000004283178,0.6149183,0.01858276,0.006296253,0.3238626],"study_design_scores_gemma":[0.0001879327,0.001276532,0.1870026,0.0007352503,0.0001053834,0.00008628817,0.00615302,0.0004923813,0.1179512,0.0002706875,0.6852483,0.0004904307],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9475633,0.0004408926,0.00001552323,0.0006368657,0.0003384743,0.0001152204,0.00001095073,0.0001693704,0.05070941],"genre_scores_gemma":[0.9990112,0.00002030293,0.00001587241,0.00001918836,0.0003285775,0.00001212445,0.00001197277,4.945441e-7,0.0005803052],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.678952,"threshold_uncertainty_score":0.3843366,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01064093654827642,"score_gpt":0.1860733888887738,"score_spread":0.1754324523404973,"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."}}