{"id":"W2788828771","doi":"","title":"SPATIAL POINT PROCESS ANALYSIS OF AT SEA SEAL ENCOUNTERS","year":2011,"lang":"en","type":"article","venue":"Library and Archives Canada (Government of Canada)","topic":"Coastal and Marine Management","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Seal (emblem); Point (geometry); Process (computing); Geography; Computer science; Mathematics; Archaeology; Geometry","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.001453956,0.0002249211,0.0004071704,0.002023489,0.000400778,0.0008172024,0.0006203398,0.0005647646,0.001343131],"category_scores_gemma":[0.005486612,0.0001535264,0.0008569538,0.002149744,0.0006899955,0.000492826,0.0009038587,0.0005563762,0.0001977453],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008010544,"about_ca_system_score_gemma":0.0007020785,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03268528,"about_ca_topic_score_gemma":0.03471075,"domain_scores_codex":[0.9992835,0.0002536754,0.00004759407,0.0001385571,0.0001989537,0.00007774133],"domain_scores_gemma":[0.9974869,0.001433266,0.0004111109,0.0002740682,0.000298972,0.0000956814],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001607209,0.0001947535,0.5860234,0.0001471316,0.0003335923,0.0007249708,0.0009740219,0.3397847,0.003138124,0.01793656,0.001274681,0.04930747],"study_design_scores_gemma":[0.00002063774,0.0001606416,0.3020957,0.00003042249,0.00006619003,0.0002911458,0.00137032,0.682276,0.001492548,0.009400365,0.002736165,0.00005986526],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9678408,0.0001663333,0.02943206,0.0001927022,0.00001263482,0.00003880409,0.001105106,0.00004259406,0.001168944],"genre_scores_gemma":[0.9885936,0.0001101294,0.009247347,0.00001133049,0.00001059049,0.00003737114,0.001255848,0.0000082505,0.000725452],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9673147,"threshold_uncertainty_score":0.06499004,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.002932029719294939,"score_gpt":0.1287505119468396,"score_spread":0.1258184822275447,"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."}}