{"id":"W6976749188","doi":"10.6084/m9.figshare.1196987.v1","title":"Surveying Different Insects Using Pan Traps","year":2014,"lang":"en","type":"dataset","venue":"Figshare","topic":"Education Methods and Technologies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); White (mutation); Water pipe","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":[0.00169288,0.0009754141,0.0008926534,0.003085308,0.0006795835,0.0009258094,0.001425706,0.000862815,0.01924313],"category_scores_gemma":[0.005768541,0.000481875,0.001100976,0.004213685,0.0002404514,0.0007883857,0.001275616,0.0009817553,0.01231865],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001287423,"about_ca_system_score_gemma":0.001288914,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04144746,"about_ca_topic_score_gemma":0.09434832,"domain_scores_codex":[0.9986846,0.0003275785,0.000218099,0.0003597433,0.0002415357,0.00016848],"domain_scores_gemma":[0.9976584,0.0005961421,0.0003891986,0.0004419094,0.0007456116,0.0001688392],"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":[0.0003059696,0.0001456849,0.0423412,0.004805037,0.0002426583,0.00009826765,0.0005038253,0.001077144,0.0009746644,0.001227432,0.9209322,0.02734601],"study_design_scores_gemma":[0.0004624558,0.00009689209,0.1200858,0.001087161,0.0001591192,0.00009198797,0.001232818,0.001104507,0.001099471,0.0009857089,0.8735043,0.00008966969],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.003652701,0.0001993568,0.0004206064,0.0001509624,0.00004389708,0.0001457005,0.9932823,0.0002007607,0.001903604],"genre_scores_gemma":[0.008481608,0.0002334999,0.004514387,0.000167816,0.00002561416,0.001511134,0.9825996,0.0001030321,0.002363375],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.04144746,"threshold_uncertainty_score":0.08241242,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2863834918017049,"score_gpt":0.4463091883819377,"score_spread":0.1599256965802328,"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."}}