{"id":"W2182494921","doi":"","title":"Spatial variation in shorebird nest success: Implications for inference","year":2004,"lang":"en","type":"article","venue":"Digital Commons - University of South Florida (University of South Florida)","topic":"Avian ecology and behavior","field":"Environmental Science","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Sampling (signal processing); Inference; Nest (protein structural motif); Variation (astronomy); Computer science; Interpretation (philosophy); Geography; Scale (ratio); Ecology; Statistics; Data science; Cartography; Mathematics; Artificial intelligence; Biology","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001323924,0.0002063069,0.0003567054,0.0002026845,0.0004214692,0.00002001679,0.000776238,0.0002197985,0.0002486359],"category_scores_gemma":[0.0000456717,0.0002901665,0.0001871331,0.000541136,0.0007777715,0.001030753,0.0004264459,0.0002113111,0.000106879],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000288518,"about_ca_system_score_gemma":0.0001012642,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00120505,"about_ca_topic_score_gemma":0.004474335,"domain_scores_codex":[0.9987621,0.00002713807,0.0001982185,0.0004427851,0.0002191532,0.0003506134],"domain_scores_gemma":[0.9989907,0.00009811798,0.0002841519,0.0003945007,0.00007281228,0.0001597648],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002486573,0.0001825819,0.9861672,0.00001978042,0.00002620896,0.00001146155,0.009531449,0.001772119,0.0001772067,0.0008315229,0.00003244572,0.0009993959],"study_design_scores_gemma":[0.001966054,0.0001933765,0.9888892,0.00003158756,0.00008876098,0.000001742807,0.007196558,0.0001135342,0.00003745029,0.0009380925,0.0002557571,0.0002879325],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9515707,0.000003641328,0.04444378,0.000394207,0.0001199085,0.0004266795,0.0008037915,0.00005600161,0.002181245],"genre_scores_gemma":[0.9984174,0.000003102937,0.001249907,0.00001183755,0.00002183867,3.648007e-7,0.0001020184,0.00001219799,0.0001813836],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0468466,"threshold_uncertainty_score":0.9999551,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0177729411453024,"score_gpt":0.2055550278971905,"score_spread":0.1877820867518881,"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."}}