{"id":"W2123448637","doi":"10.1109/tsmcb.2005.857095","title":"On the ternary spatial relation \"Between\"","year":2006,"lang":"en","type":"article","venue":"IEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics)","topic":"Image Retrieval and Classification Techniques","field":"Computer Science","cited_by":72,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Coordenação de Aperfeiçoamento de Pessoal de Nível Superior","keywords":"Relation (database); Object (grammar); Spatial relation; Computer science; Convexity; Fuzzy logic; Space (punctuation); Visibility; Binary relation; Mathematics; Artificial intelligence; Data mining; Discrete mathematics; Geography","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":[0.002357842,0.0009298247,0.000706551,0.003546546,0.003128427,0.004540233,0.001181432,0.001754296,0.00746201],"category_scores_gemma":[0.005183247,0.0004633392,0.001081736,0.00336453,0.009594751,0.01023495,0.003695484,0.002300027,0.001812928],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002293853,"about_ca_system_score_gemma":0.001328259,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003284235,"about_ca_topic_score_gemma":0.002400724,"domain_scores_codex":[0.9965295,0.0009287687,0.0003876282,0.001044258,0.0008002441,0.0003096553],"domain_scores_gemma":[0.9967307,0.00128452,0.000425661,0.0005248725,0.0008490715,0.0001852739],"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":[0.00003912767,0.0000063861,0.0001735906,0.00009135588,0.000008805686,0.0001406228,0.0005152408,0.0005215003,0.00113691,0.9822204,0.001962128,0.01318398],"study_design_scores_gemma":[0.00002939283,0.00009360685,0.001103909,0.000282698,0.00007186251,0.001427811,0.0007369234,0.008242185,0.003811858,0.7790165,0.2051079,0.00007530422],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05020757,0.008372035,0.7525092,0.004649423,0.002116872,0.000249224,0.001194892,0.0006027244,0.1800981],"genre_scores_gemma":[0.6032107,0.005475998,0.3491624,0.00290912,0.001853485,0.0007085815,0.001594441,0.0003729695,0.03471236],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00746201,"threshold_uncertainty_score":0.02496296,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01971191177119041,"score_gpt":0.2277495030253552,"score_spread":0.2080375912541648,"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."}}