{"id":"W6964273251","doi":"10.25545/tqbafz","title":"Digital Property Maps, 2002","year":2018,"lang":"en","type":"dataset","venue":"UNB Dataverse","topic":"Forest Ecology and Biodiversity Studies","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Government of New Brunswick","funders":"","keywords":"Property (philosophy); Identifier; Snapshot (computer storage); Real property; Digital data; Scale (ratio)","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":[],"consensus_categories":[],"category_scores_codex":[0.001140481,0.002180435,0.001288489,0.008196077,0.001068545,0.003565884,0.002896968,0.001064966,0.06392181],"category_scores_gemma":[0.008024631,0.0009886421,0.0006906096,0.02433884,0.000426443,0.002145438,0.00171505,0.00191404,0.08671924],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006497993,"about_ca_system_score_gemma":0.00985421,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.4371569,"about_ca_topic_score_gemma":0.5494676,"domain_scores_codex":[0.9985999,0.000121131,0.0002191455,0.000306341,0.0004803534,0.0002731391],"domain_scores_gemma":[0.9953542,0.0005404603,0.0003875887,0.0008988805,0.00243423,0.0003846762],"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":[0.00001796467,0.000006889527,0.0005854483,0.0002233899,0.000009970487,0.00002028574,0.00002840365,0.0001347597,0.00004395767,0.0005128369,0.996232,0.002184149],"study_design_scores_gemma":[0.00002851898,0.000002455239,0.00472523,0.0001692352,0.000007923319,0.00002327598,0.00009312729,0.0001383459,0.0001294578,0.0004265783,0.9942379,0.00001782546],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005316554,0.00003102275,0.0000262978,0.00002813158,0.00001148819,0.000004084618,0.9990497,0.00009702106,0.0006989852],"genre_scores_gemma":[0.0001670836,0.00004931916,0.000102882,0.00001052166,0.000002041312,0.00001637005,0.999009,0.00003338241,0.0006094234],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.4371569,"threshold_uncertainty_score":0.8692248,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02248486423135871,"score_gpt":0.1958051560041374,"score_spread":0.1733202917727787,"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."}}