{"id":"W6931444837","doi":"10.5281/zenodo.570051","title":"datacarpentry/ecology-workshop: v2017.04.0 Data Carpentry Ecology workshop","year":2017,"lang":"en","type":"other","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Lymphatic System and Diseases","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Douglas Mental Health University Institute; Université de Montréal","funders":"","keywords":"Carpentry; Work (physics); Research data; Context (archaeology)","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.007642481,0.002375678,0.001516666,0.004798837,0.001746675,0.007978399,0.004331358,0.001974809,0.498376],"category_scores_gemma":[0.01874219,0.001585972,0.001814267,0.003517061,0.0006820188,0.006290558,0.009004323,0.003404057,0.6217058],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001694716,"about_ca_system_score_gemma":0.004293488,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01076399,"about_ca_topic_score_gemma":0.01681428,"domain_scores_codex":[0.9962378,0.0004802646,0.0002822316,0.0005890209,0.001877271,0.0005335006],"domain_scores_gemma":[0.9857044,0.001782421,0.000394684,0.004270504,0.005046966,0.002801008],"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":[0.00006202362,0.00001112515,0.0001514126,0.00008985704,0.000005921573,0.00001517305,0.00002623319,0.00008139147,0.0001765977,0.00050915,0.9920171,0.006854],"study_design_scores_gemma":[0.00004601843,0.00001021877,0.0005770426,0.00009648054,0.000005346024,0.00001962744,0.00006059783,0.0002833974,0.0006513409,0.001438,0.9967846,0.00002731233],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.00130954,0.0003185247,0.01278884,0.003688032,0.002425068,0.0007003652,0.7752792,0.08161516,0.1218752],"genre_scores_gemma":[0.00315351,0.0002289524,0.009468199,0.0007769833,0.0003607595,0.00080718,0.8267109,0.03953414,0.1189594],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.498376,"threshold_uncertainty_score":0.7155058,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08449196109818267,"score_gpt":0.3219947346166237,"score_spread":0.237502773518441,"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."}}