{"id":"W4244626355","doi":"10.35483/acsa.intl.2016.46","title":"An Ecology of Innovation: Adapt, Reuse and Reimagine","year":2016,"lang":"en","type":"article","venue":"","topic":"Sustainable Design and Development","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Ecology; Reuse; Premise; Geography; Environmental resource management; Environmental science; Biology; Epistemology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008351364,0.00003849142,0.00005725068,0.00008496924,0.000007017376,0.000002828006,0.00004881838,0.00002268616,0.0001633469],"category_scores_gemma":[0.00004062436,0.00002616711,0.000002519381,0.0001417141,0.00001625338,0.00007944435,0.00001430644,0.00001434621,0.000004940369],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001888705,"about_ca_system_score_gemma":0.00001776768,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002917127,"about_ca_topic_score_gemma":0.000002497415,"domain_scores_codex":[0.9997198,0.000004696748,0.0001169478,0.00005301755,0.00003012268,0.0000754271],"domain_scores_gemma":[0.9997467,0.00002149719,0.000008906051,0.0001346829,0.00007094583,0.00001731147],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.00007671789,0.0001019004,0.04139943,0.0002515489,0.000129094,0.00006288623,0.001100819,0.0004008686,0.3708506,0.2297866,0.1342746,0.2215649],"study_design_scores_gemma":[0.004388576,0.0005792162,0.3605842,0.00007830343,0.0000221327,0.00007876763,0.001040502,0.01060828,0.3501135,0.03413916,0.2373581,0.001009278],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9309528,0.00007968149,0.04836642,0.001185226,0.0001425958,0.000112475,0.000001510522,0.0002381766,0.01892111],"genre_scores_gemma":[0.9906725,0.00002587571,0.008267227,0.00005963811,0.00001349535,0.000004299465,8.982599e-7,0.000006075193,0.000949942],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3191848,"threshold_uncertainty_score":0.1788534,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008511531904261327,"score_gpt":0.2071944481399575,"score_spread":0.1986829162356962,"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."}}