{"id":"W4394276805","doi":"10.6084/m9.figshare.13126829","title":"Ariuna Bagleeva Birdwatching Data and Metadata.xlsx","year":2020,"lang":"en","type":"dataset","venue":"Figshare","topic":"Species Distribution and Climate Change","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Metadata; Computer science; World Wide Web","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":[],"consensus_categories":[],"category_scores_codex":[0.0006858485,0.001610291,0.001035061,0.003147918,0.0005124596,0.001716056,0.001911558,0.001316493,0.1325671],"category_scores_gemma":[0.003889106,0.0006299113,0.0009923091,0.004992352,0.0002563137,0.001758757,0.002011782,0.0009680654,0.1240731],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009686236,"about_ca_system_score_gemma":0.00120556,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02293997,"about_ca_topic_score_gemma":0.06033931,"domain_scores_codex":[0.9994142,0.00007720421,0.00009170028,0.0001902255,0.0001182431,0.0001083985],"domain_scores_gemma":[0.9982525,0.0004853431,0.0002383918,0.0003557622,0.0004376252,0.0002304567],"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":[0.00007206662,0.00001652641,0.002726755,0.001017995,0.00003696601,0.00002677325,0.00004222912,0.000307363,0.0001837864,0.0003611058,0.9913237,0.003884727],"study_design_scores_gemma":[0.0001531143,0.00002379801,0.01458568,0.0004404692,0.00003724036,0.00005936334,0.0001431547,0.0006493549,0.0004876904,0.001316633,0.9820517,0.00005170652],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00006336288,0.00001485432,0.00004273268,0.00001687346,0.000007653806,0.000004611992,0.9992968,0.0002501585,0.0003029321],"genre_scores_gemma":[0.0004493014,0.00002829362,0.0002836696,0.00002996618,0.000004450691,0.00006294472,0.9985958,0.00009697097,0.0004485532],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1325671,"threshold_uncertainty_score":0.4434811,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1243308936510694,"score_gpt":0.2932212862584359,"score_spread":0.1688903926073664,"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."}}