{"id":"W7055767694","doi":"","title":"Drivers of Spatio-temporal Dynamics in Long-term Studies of Mammal and Bird Populations in Maine","year":2024,"lang":"en","type":"article","venue":"DigitalCommons (California Polytechnic State University)","topic":"Magnetic confinement fusion research","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Biological dispersal; Foraging; Context (archaeology); Habitat; Climate change; Abundance (ecology); Ecosystem; Temporal scales; Mammal","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":[],"consensus_categories":[],"category_scores_codex":[0.0001023182,0.0001244546,0.0002385884,0.001033828,0.00002603399,0.00001888442,0.0001542273,0.00002910041,0.0005419813],"category_scores_gemma":[0.000008405833,0.0001334218,0.00006334462,0.0009546165,0.0002080553,0.00007421526,0.0002643896,0.0001391961,0.000003768024],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007534537,"about_ca_system_score_gemma":0.00007744389,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001564799,"about_ca_topic_score_gemma":0.01536021,"domain_scores_codex":[0.9991308,0.00003143233,0.0002890618,0.0001972982,0.0001512501,0.0002001528],"domain_scores_gemma":[0.9995633,0.00009709098,0.00007097737,0.0001690241,0.00004770921,0.0000519083],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003267645,0.0001134339,0.9242672,0.0001134571,0.00004659727,0.00004136762,0.000093207,0.00005547121,0.00004774602,0.03583923,0.00008132988,0.03926823],"study_design_scores_gemma":[0.004127896,0.0005353034,0.9249454,0.001565746,0.0001383526,0.000004020275,0.009758521,0.04016334,0.0005531101,0.005801743,0.01142018,0.0009864643],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9843905,0.00008624941,0.0009660393,0.0003151012,0.00002796626,0.0003214493,0.0007425574,0.0000376293,0.01311252],"genre_scores_gemma":[0.998962,0.00004477166,0.0001412124,0.00000130582,0.000003974579,0.000001752382,0.0001318435,0.00001010775,0.0007030679],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04010787,"threshold_uncertainty_score":0.8571357,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02422837774977796,"score_gpt":0.2709225961157346,"score_spread":0.2466942183659566,"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."}}