{"id":"W6908535332","doi":"10.3389/famrs.2023.1251161.s001","title":"DataSheet_1_Microhabitat and stopover site selection by juvenile Western Rattlesnakes (Crotalus oreganus).pdf","year":2023,"lang":"en","type":"dataset","venue":"Figshare","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Habitat; Juvenile; Selection (genetic algorithm); Precocial; Plant litter; Home range","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":[],"category_scores_codex":[0.0002503545,0.0004168091,0.0002484219,0.00180889,0.0002831662,0.0004093662,0.0004385507,0.0002670522,0.132611],"category_scores_gemma":[0.001094691,0.000384736,0.0002529527,0.001569101,0.0001365817,0.0004750496,0.0003763109,0.0003109871,0.04280307],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005118282,"about_ca_system_score_gemma":0.0004195169,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05653219,"about_ca_topic_score_gemma":0.1285256,"domain_scores_codex":[0.9998848,0.000006987369,0.0000211208,0.00002003278,0.00004296769,0.00002409876],"domain_scores_gemma":[0.9986975,0.0003175058,0.0002714137,0.0001234504,0.0004416421,0.0001485026],"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":[0.0004462011,0.0001715386,0.1856673,0.001112164,0.00006223908,0.0003833386,0.0004672479,0.0006257045,0.004715527,0.0004573914,0.6777686,0.1281227],"study_design_scores_gemma":[0.00008461807,0.00007228056,0.6786784,0.0001664421,0.00002552637,0.0004246098,0.0001985831,0.0006551534,0.002625776,0.000151783,0.3168737,0.00004305516],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.03844871,0.0002406693,0.0006433076,0.0002429482,0.00009142926,0.0001360262,0.9304515,0.00264965,0.02709571],"genre_scores_gemma":[0.09030817,0.0005993436,0.004055774,0.000253584,0.00009328515,0.0004152607,0.8465666,0.001160304,0.05654765],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.867389,"threshold_uncertainty_score":0.443628,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02601538059011489,"score_gpt":0.2778833777155889,"score_spread":0.251867997125474,"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."}}