{"id":"W4281290723","doi":"10.5281/zenodo.6570836","title":"Rodent Control Los Angeles","year":2022,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Hermeneutics and Narrative Identity","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Rodent; Control (management); Geography; Biology; Computer science; Ecology; Artificial intelligence","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":["insufficient_payload"],"category_scores_codex":[0.0006098072,0.001594122,0.0005973618,0.001542666,0.001484493,0.002150691,0.001642872,0.001426678,0.3775047],"category_scores_gemma":[0.001390709,0.0004089317,0.0005604802,0.0006777247,0.0005239687,0.00110158,0.001714863,0.00240432,0.1193305],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00195064,"about_ca_system_score_gemma":0.00309148,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02678019,"about_ca_topic_score_gemma":0.04542333,"domain_scores_codex":[0.9991561,0.0001142027,0.0000489737,0.0002459399,0.0002981546,0.0001366132],"domain_scores_gemma":[0.998717,0.0001014975,0.00009516517,0.00009791047,0.0007252191,0.0002634118],"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":[0.0001730876,0.0003052616,0.003191738,0.0004943223,0.00003473773,0.0005249124,0.0001084589,0.0001718258,0.001531832,0.004085052,0.6490353,0.3403435],"study_design_scores_gemma":[0.00007769315,0.0001179038,0.004530972,0.0004885849,0.00001826641,0.0003884754,0.0001543338,0.0002382608,0.0002957265,0.0005965784,0.9930788,0.00001438293],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.004043386,0.01470809,0.002084336,0.009405673,0.005068438,0.0004928404,0.00531111,0.001671073,0.9572151],"genre_scores_gemma":[0.02057129,0.01595816,0.006544364,0.004695112,0.001511059,0.0005812182,0.008142306,0.0003329492,0.9416635],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.6224953,"threshold_uncertainty_score":0.8879139,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04085271726007008,"score_gpt":0.2290944074426268,"score_spread":0.1882416901825567,"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."}}