{"id":"W6908669654","doi":"10.3389/fevo.2021.715418.s001","title":"Data_Sheet_1_Effect of the Social Environment on Spring Migration Timing of a Songbird.DOCX","year":2021,"lang":"en","type":"dataset","venue":"Figshare","topic":"Diverse Scientific and Economic Studies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Flock; Spring (device); Wildlife; Competition (biology); Satellite tracking; Annual cycle","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":[0.001721671,0.001059983,0.001079479,0.003275195,0.001029502,0.001225867,0.002050226,0.0006525792,0.6124623],"category_scores_gemma":[0.00798455,0.0008263167,0.000889242,0.002965271,0.0002965672,0.001472756,0.001174645,0.001071903,0.1473361],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001125376,"about_ca_system_score_gemma":0.001987108,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04068195,"about_ca_topic_score_gemma":0.06252041,"domain_scores_codex":[0.9992318,0.0000989253,0.0001303721,0.0001371421,0.0002596097,0.0001422537],"domain_scores_gemma":[0.9927192,0.002793388,0.0006543815,0.0006925371,0.00263341,0.0005070558],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0003724853,0.0001311133,0.008112375,0.001674309,0.00004804179,0.00004925387,0.0001100504,0.0004282776,0.0005369456,0.0003781941,0.9732804,0.01487854],"study_design_scores_gemma":[0.001726737,0.0002949728,0.1369281,0.001176219,0.00008562228,0.0001505547,0.0006236022,0.0009744655,0.001632034,0.001287877,0.8549958,0.0001241004],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000321085,0.000007283972,0.00015756,0.00003740012,0.00002517366,0.0002174668,0.9970098,0.0003130578,0.001911125],"genre_scores_gemma":[0.004020524,0.00007190712,0.002770652,0.0002376107,0.00005189214,0.004385901,0.9756334,0.0006916385,0.01213644],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.6124623,"threshold_uncertainty_score":0.5527754,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08299327017833343,"score_gpt":0.2323007981111481,"score_spread":0.1493075279328147,"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."}}