{"id":"W6957947954","doi":"10.6068/dp14ba81ef14a79","title":"Trend 1996 - 2000. Statistics Canada. CANSIM: Environment - Environmental Protection | Country: Canada | Table: Summary profile of heritage institutions and nature parks | Variable: Other capital revenues, Archival institutions | Units: , 1996-2000. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 075-001-084.","year":2015,"lang":"en","type":"other","venue":"Data Planet","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Economic statistics; Census; Official statistics; Summary statistics; Capital (architecture); Natural resource; Publication; Descriptive statistics; Statistical analysis","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":[0.002341351,0.002267493,0.002243569,0.009637789,0.003203937,0.005397377,0.004571431,0.00137529,0.1216715],"category_scores_gemma":[0.01841039,0.001794355,0.001706474,0.04501453,0.0006761762,0.002763225,0.002296261,0.00292837,0.07487089],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05813794,"about_ca_system_score_gemma":0.1538908,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.994103,"about_ca_topic_score_gemma":0.9913136,"domain_scores_codex":[0.9951705,0.0002807739,0.0004635426,0.0005806879,0.002423233,0.00108123],"domain_scores_gemma":[0.9628636,0.001241433,0.001090314,0.001167135,0.03187444,0.001763056],"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":[0.00001919815,0.00000552149,0.0007557009,0.000176316,0.00001437165,0.000006145627,0.00001894659,0.0001017456,0.000009059238,0.0004081964,0.9967508,0.001733998],"study_design_scores_gemma":[0.00008588413,0.000008229537,0.01701383,0.0005300178,0.00003883277,0.00001847286,0.0003623704,0.0003410315,0.000144902,0.0005920433,0.9808044,0.0000600247],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005248106,0.0000418937,0.00003117268,0.0001375844,0.00003231575,0.00001808212,0.9979752,0.00008230456,0.001629027],"genre_scores_gemma":[0.0008468835,0.0002735943,0.0004856828,0.0001685624,0.00001783377,0.0001431261,0.989841,0.0001699366,0.00805333],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1216715,"threshold_uncertainty_score":0.4218222,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01941448234620501,"score_gpt":0.225843193559019,"score_spread":0.206428711212814,"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."}}