{"id":"W3042436586","doi":"10.33137/ijidi.v4i2.34035","title":"Hackathons as Instruments for Settlement Sector Innovation","year":2020,"lang":"en","type":"article","venue":"The International Journal of Information Diversity & Inclusion (IJIDI)","topic":"Biomedical and Engineering Education","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Mindset; General partnership; Public relations; Community engagement; Sociology; Business; Political science; Computer science","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":[0.02554438,0.0007505696,0.0005839849,0.004095109,0.01563725,0.0248877,0.002658779,0.004147303,0.0116633],"category_scores_gemma":[0.04342782,0.0005904445,0.0009119895,0.005334085,0.05543454,0.01686571,0.02484224,0.006192682,0.001075425],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02615528,"about_ca_system_score_gemma":0.03243129,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04022744,"about_ca_topic_score_gemma":0.07741517,"domain_scores_codex":[0.9707767,0.0166773,0.0007203278,0.001981785,0.005540977,0.004302913],"domain_scores_gemma":[0.9491606,0.03198902,0.003313333,0.007849704,0.00365383,0.004033562],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0001099502,0.0001642269,0.01600298,0.0005162322,0.00003686976,0.001564504,0.2276507,0.00162507,0.0009153591,0.633132,0.01060984,0.1076722],"study_design_scores_gemma":[0.00006191472,0.0002114001,0.01323726,0.001394632,0.000037964,0.000546832,0.2559013,0.002017982,0.001737273,0.226259,0.4984481,0.0001462962],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.4106712,0.002744595,0.0692642,0.04541113,0.0007528104,0.001548501,0.0004200752,0.0008905595,0.468297],"genre_scores_gemma":[0.9603183,0.0008253341,0.01083676,0.001853913,0.00006629687,0.0004342615,0.0001282036,0.0001964658,0.02534048],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.04022744,"threshold_uncertainty_score":0.1897707,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01723660604953864,"score_gpt":0.2264013924041058,"score_spread":0.2091647863545672,"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."}}