{"id":"W7099615928","doi":"","title":"FORMALISING THE GEOGRAPHIC DATABASE GENERALISATION PROCESS BY MEANS OF A Conflicts/operations Graph","year":2002,"lang":"en","type":"article","venue":"","topic":"Geochemistry and Geologic Mapping","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Workflow; Process (computing); Set (abstract data type); Graph; Graph database; Object (grammar); Anticipation (artificial intelligence); Database theory","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":[0.007500163,0.001281197,0.0006452479,0.004033424,0.001968772,0.005192025,0.002847587,0.002179721,0.00637724],"category_scores_gemma":[0.009216866,0.001318421,0.00297586,0.003097973,0.008034343,0.008630271,0.004191096,0.004143374,0.000892017],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002859692,"about_ca_system_score_gemma":0.005045874,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02469449,"about_ca_topic_score_gemma":0.01906126,"domain_scores_codex":[0.9952959,0.001634009,0.000543643,0.001020879,0.00104885,0.0004567133],"domain_scores_gemma":[0.9920586,0.004732492,0.0008196034,0.001310523,0.0008079774,0.0002709325],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0000346478,0.00007812754,0.0007746199,0.0001578297,0.00004145268,0.0006437868,0.001645842,0.04636193,0.001660773,0.9228636,0.00115189,0.02458547],"study_design_scores_gemma":[0.000061955,0.00005959131,0.0004556886,0.0001286773,0.0001076894,0.0005321273,0.0008040126,0.1910809,0.004528201,0.7317244,0.07043456,0.00008227091],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.005070525,0.0001001361,0.9879599,0.0006600026,0.00002928455,0.0002796066,0.000189947,0.000641074,0.005069499],"genre_scores_gemma":[0.1010613,0.0003723433,0.8928249,0.0002230203,0.0000397029,0.0003864453,0.0006268034,0.0002329063,0.004232508],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.02469449,"threshold_uncertainty_score":0.04910153,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03005126376045147,"score_gpt":0.231085471798814,"score_spread":0.2010342080383626,"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."}}