{"id":"W6982302071","doi":"","title":"Houghton-Sprague House: Massachusetts Historical Commission Application","year":2022,"lang":"en","type":"article","venue":"Roger Williams University - Digital Commons (Roger Williams University)","topic":"demographic modeling and climate adaptation","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Commission; Register (sociolinguistics); Statement (logic); Comparative historical research; Government (linguistics); Quarter (Canadian coin)","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00196814,0.0009080557,0.0005256194,0.00373239,0.002945828,0.004635098,0.00149095,0.001804072,0.5626358],"category_scores_gemma":[0.008843614,0.0009642866,0.0003308327,0.008340766,0.0005714472,0.003199041,0.0018502,0.001370078,0.2801411],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003627868,"about_ca_system_score_gemma":0.006026117,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1318077,"about_ca_topic_score_gemma":0.2440298,"domain_scores_codex":[0.9983041,0.0002241265,0.0002061645,0.0002592915,0.000824551,0.0001817557],"domain_scores_gemma":[0.9957404,0.0004819652,0.0002036025,0.0005429892,0.002710634,0.0003204067],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000009346802,0.000005537939,0.0002307892,0.00004164346,8.012264e-7,0.00001999146,0.0001106025,0.00003063821,0.00004179433,0.003817998,0.9744406,0.02125024],"study_design_scores_gemma":[0.000002859851,0.000003385579,0.001890961,0.000061628,0.000001055177,0.00001475396,0.0001116569,0.00002906484,0.00003167355,0.0004242454,0.9974235,0.000005228253],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001846838,0.003770897,0.002485306,0.004947796,0.001125881,0.0005277603,0.05400968,0.002453632,0.9288322],"genre_scores_gemma":[0.005331674,0.001500918,0.001657207,0.0004479855,0.0001878115,0.0004272125,0.01502434,0.0006548312,0.974768],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.5626358,"threshold_uncertainty_score":0.623847,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04501459967969188,"score_gpt":0.2499896670737316,"score_spread":0.2049750673940398,"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."}}