{"id":"W4386568694","doi":"10.29173/pathfinder68","title":"Fossils in a Digital Age","year":2023,"lang":"en","type":"article","venue":"Pathfinder A Canadian Journal for Information Science Students and Early Career Professionals","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Metadata; Dissemination; Globe; Digital library; Digital preservation; World Wide Web; Computer science; Standardization; Data science; Best practice; Digital data; Political science; Telecommunications","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002343212,0.0003381781,0.0004495682,0.004177776,0.008540764,0.01098038,0.001529502,0.002987213,0.03506574],"category_scores_gemma":[0.008249149,0.0003023801,0.0003527828,0.007713295,0.008386134,0.01460745,0.006204742,0.003241645,0.005675207],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006036485,"about_ca_system_score_gemma":0.00649096,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05142803,"about_ca_topic_score_gemma":0.0959665,"domain_scores_codex":[0.9982182,0.0003158851,0.00008460285,0.0002140811,0.001001997,0.0001651862],"domain_scores_gemma":[0.9961668,0.0009672126,0.0003148924,0.0007626662,0.001131929,0.0006564738],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00006604218,0.00003319135,0.00586411,0.0005016547,0.00001880734,0.0009142841,0.01895568,0.0004505595,0.0008669994,0.3535168,0.1362686,0.4825432],"study_design_scores_gemma":[0.000001171624,0.000005282163,0.001237986,0.0003060929,0.000006225055,0.0004584283,0.004583631,0.00005975987,0.000168098,0.02289049,0.9702707,0.00001230351],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.0469419,0.1261275,0.0283006,0.1421307,0.006473823,0.00008714325,0.001858201,0.001473093,0.646607],"genre_scores_gemma":[0.3590556,0.1943708,0.06188932,0.02818848,0.003797409,0.0001080379,0.002258859,0.001037576,0.3492939],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.05142803,"threshold_uncertainty_score":0.1173066,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03242922618303235,"score_gpt":0.3159594069736339,"score_spread":0.2835301807906015,"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."}}