{"id":"W2197916278","doi":"","title":"The spatial structure of habitat selection by caribou (Rangifer tarandus caribou) in Newfoundland: new multi-scaled approaches with applications to limiting factors","year":2006,"lang":"en","type":"dissertation","venue":"Memorial University Research Repository (Memorial University)","topic":"Wildlife Ecology and Conservation","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Selection (genetic algorithm); Habitat; Spatial ecology; Limiting; Ecology; Scale (ratio); Geography; Biology; Cartography; Computer science; Machine learning; Engineering","routes":{"ca_aff":false,"ca_fund":true,"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":[0.00051752,0.000119172,0.0002354791,0.001081277,0.0004861629,0.0006575888,0.0004423026,0.0001596386,0.0005591662],"category_scores_gemma":[0.001827492,0.0001529314,0.0003126492,0.0009859675,0.0009950333,0.0004041306,0.000626536,0.0003296637,0.00003180388],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001447706,"about_ca_system_score_gemma":0.0004064351,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1934312,"about_ca_topic_score_gemma":0.2915817,"domain_scores_codex":[0.9997575,0.00008490131,0.00001390006,0.00009016984,0.00002133313,0.00003222543],"domain_scores_gemma":[0.9987968,0.0006094143,0.0002852363,0.0001065155,0.0001255453,0.00007647734],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004329198,0.00003208399,0.9740086,0.00003585624,0.0001120108,0.0001019332,0.00121142,0.006150172,0.002394605,0.0005494689,0.0001739251,0.01518665],"study_design_scores_gemma":[0.000001489493,0.00001412817,0.989058,0.000005224381,0.00001887981,0.00003475812,0.000860962,0.009329224,0.0001041769,0.0004250156,0.0001417683,0.000006481066],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.997685,0.00009135742,0.001835824,0.00004674503,0.000001203385,0.000003368448,0.00008161175,0.000007159898,0.0002477726],"genre_scores_gemma":[0.9979618,0.00005563595,0.001768922,0.000008365372,0.000002424245,0.000005684145,0.00007702336,0.000003441399,0.0001166597],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8065689,"threshold_uncertainty_score":0.3846105,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02160712549775999,"score_gpt":0.2312374750170711,"score_spread":0.2096303495193111,"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."}}