{"id":"W7011587207","doi":"","title":"Nearest neighbour continuum percolation model with random number of connections","year":2015,"lang":"en","type":"dissertation","venue":"eScholarship@McGill (McGill)","topic":"Medical History and Research","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Poisson distribution; Point process; Percolation (cognitive psychology); Uniqueness; Percolation theory; Continuum percolation theory; Poisson process","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0009783529,0.0005007925,0.0008183348,0.0002775894,0.001549904,0.0001021842,0.0004129767,0.0004822272,0.004863196],"category_scores_gemma":[0.0009456585,0.0004112967,0.0002678655,0.0001490884,0.0003757937,0.0006546762,0.00004664194,0.001444285,0.0003675552],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003566968,"about_ca_system_score_gemma":0.0002604802,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008603894,"about_ca_topic_score_gemma":0.0204978,"domain_scores_codex":[0.9965311,0.0003364462,0.000763039,0.0006281501,0.001224267,0.0005170329],"domain_scores_gemma":[0.9960942,0.0002895497,0.0004868393,0.000488778,0.002224961,0.0004156881],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.003927922,0.0009410224,0.0000483293,0.001290581,0.0006915554,0.00005014159,0.001463661,0.0003335565,0.002178462,0.9721493,0.00172225,0.01520321],"study_design_scores_gemma":[0.007609176,0.0005530099,0.0001150277,0.001267167,0.0006630138,0.0000239385,0.00664054,0.00142129,0.002040612,0.05766527,0.9203664,0.001634576],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4993889,0.000101702,5.62671e-7,0.0000144671,0.00123107,0.0005737199,0.0008781475,0.0001042434,0.4977072],"genre_scores_gemma":[0.8171901,0.00004904922,0.0001057834,0.00007049924,0.0002606389,0.000142753,0.001064787,0.0001227054,0.1809937],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9186441,"threshold_uncertainty_score":0.9998339,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03937510149305886,"score_gpt":0.2757438994515251,"score_spread":0.2363687979584662,"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."}}