{"id":"W7065720037","doi":"","title":"Ecotone adaptive dwelling in Ontario: learning from plants","year":2021,"lang":"en","type":"dissertation","venue":"Lu Zone Ul (Laurentian University)","topic":"X-ray Spectroscopy and Fluorescence Analysis","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Ecotone; Harmony (color); Natural (archaeology); Ecosystem; Criticism; Adaptive evolution; Adaptive strategies","routes":{"ca_aff":false,"ca_fund":false,"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":[0.0002356406,0.0001611083,0.000125393,0.00018326,0.008338344,0.001721318,0.0006218422,0.0003875389,0.006289932],"category_scores_gemma":[0.000363873,0.0001252503,0.0001251372,0.0004919919,0.002792051,0.0006529948,0.001325945,0.0005266909,0.0005012696],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01934879,"about_ca_system_score_gemma":0.02185733,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8548597,"about_ca_topic_score_gemma":0.9828015,"domain_scores_codex":[0.9998343,0.00002047999,0.000002553553,0.00003281193,0.00004513177,0.0000646553],"domain_scores_gemma":[0.9997256,0.00003091988,0.000016612,0.00001498371,0.00005685463,0.0001550592],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.0003068193,0.0003830097,0.1068806,0.0004823701,0.00001825259,0.003880223,0.5862674,0.001299542,0.02072696,0.02823182,0.0365723,0.2149507],"study_design_scores_gemma":[0.00001662393,0.0002754322,0.17093,0.0001724131,0.00001747683,0.0003874582,0.389074,0.0008821649,0.002701535,0.002108755,0.4333911,0.0000431166],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8978927,0.0004437984,0.001552115,0.003017554,0.00004069302,0.0001064251,0.0001440686,0.00005779212,0.09674484],"genre_scores_gemma":[0.9169489,0.0006714765,0.001890315,0.0002383745,0.000006254356,0.00003456176,0.00008751998,0.00001800058,0.0801046],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1451403,"threshold_uncertainty_score":0.2919902,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008624010235585174,"score_gpt":0.2011203178090239,"score_spread":0.1924963075734387,"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."}}