{"id":"W2124372742","doi":"10.1139/f00-079","title":"Potential contact statistics for measuring scale-dependent spatial pattern and association: an example of northern cod (<i>Gadus morhua</i>) and capelin (<i>Mallotus villosus</i>)","year":2000,"lang":"en","type":"article","venue":"Canadian Journal of Fisheries and Aquatic Sciences","topic":"Marine and fisheries research","field":"Environmental Science","cited_by":27,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Gadus; Capelin; Mallotus; Gadidae; Atlantic cod; Spatial ecology; Spatial distribution; Fishery; Common spatial pattern; Predation; Statistics; Biology; Ecology; Mathematics; Fish <Actinopterygii>","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.00381211,0.0003431814,0.0004511835,0.002956359,0.0006103529,0.0008031329,0.000394893,0.000470478,0.0006280991],"category_scores_gemma":[0.02054871,0.0001865604,0.000519002,0.004475477,0.0008772071,0.001549929,0.0007069272,0.0005544123,0.0001858717],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007619493,"about_ca_system_score_gemma":0.0004798703,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01140228,"about_ca_topic_score_gemma":0.01304284,"domain_scores_codex":[0.9982981,0.0007568004,0.0001638776,0.0002504007,0.0004540388,0.00007687831],"domain_scores_gemma":[0.9804807,0.01410548,0.002039624,0.001573966,0.00149138,0.0003087929],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000567976,0.0001909349,0.6196032,0.0002516426,0.0003890176,0.0009474901,0.002121752,0.1059521,0.01417959,0.0309525,0.003939898,0.220904],"study_design_scores_gemma":[0.00003437449,0.0003069584,0.308704,0.00005546547,0.00007478771,0.001317739,0.000873811,0.6534508,0.005498462,0.02534906,0.004219047,0.0001155127],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5602032,0.0004122346,0.4333128,0.0001951237,0.00002526291,0.0001120528,0.0008455068,0.000646484,0.004247345],"genre_scores_gemma":[0.9210889,0.00009272087,0.07766171,0.00002351144,0.00001116037,0.00009134501,0.0004538226,0.00007497102,0.0005019067],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9885977,"threshold_uncertainty_score":0.02267182,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02008050558363821,"score_gpt":0.2146169485712408,"score_spread":0.1945364429876026,"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."}}