{"id":"W4205595491","doi":"10.4095/292903","title":"Canadian Geomatics Community Strategy \"White Paper\" and Scenarios","year":2013,"lang":"en","type":"report","venue":"","topic":"Geological Modeling and Analysis","field":"Earth and Planetary Sciences","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Geomatics; White (mutation); White paper; Geography; Computer science; Data science; Remote sensing; Archaeology","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":[0.009789458,0.002766845,0.0009291813,0.006644417,0.004533181,0.007503408,0.004525827,0.003680556,0.0443021],"category_scores_gemma":[0.01463769,0.001455086,0.001474545,0.01120287,0.001234743,0.0041187,0.002709309,0.003531768,0.01087019],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.06230063,"about_ca_system_score_gemma":0.2313117,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.973367,"about_ca_topic_score_gemma":0.978235,"domain_scores_codex":[0.99058,0.0007789719,0.0002301443,0.0004118762,0.006130441,0.001868591],"domain_scores_gemma":[0.9858198,0.0007459685,0.0003458024,0.0008491584,0.00997365,0.002265553],"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":[0.00009476862,0.00005908509,0.001142347,0.0000713866,0.00001667454,0.0000305821,0.00006902795,0.003056818,0.0001147625,0.03199405,0.9524269,0.01092374],"study_design_scores_gemma":[0.0000933957,0.00002836832,0.009869206,0.0001974536,0.00003935176,0.00004018999,0.0004690253,0.004540088,0.00107861,0.01217088,0.9713749,0.00009850394],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.006654324,0.00106766,0.006663745,0.01956811,0.00104317,0.001648088,0.540804,0.001477915,0.421073],"genre_scores_gemma":[0.06650584,0.003750463,0.03364985,0.005029575,0.0002312695,0.002171322,0.472578,0.001454877,0.4146287],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.9376994,"threshold_uncertainty_score":0.4520249,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0527528543062906,"score_gpt":0.2357642886976346,"score_spread":0.183011434391344,"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."}}