{"id":"W1768193615","doi":"10.1017/s0140525x01224157","title":"Shortcomings of the HIT framework and possible solutions","year":2001,"lang":"en","type":"article","venue":"Behavioral and Brain Sciences","topic":"Private Equity and Venture Capital","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; Institut Universitaire de Gériatrie de Montréal","funders":"","keywords":"Variety (cybernetics); Computer science; Resolution (logic); Data science; Management science; Risk analysis (engineering); Artificial intelligence; Business; Engineering","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02745615,0.001299494,0.00261676,0.002934634,0.006016318,0.01200227,0.008041517,0.0103954,0.014152],"category_scores_gemma":[0.03991334,0.0008366243,0.001319865,0.005582702,0.01939706,0.01750379,0.01064703,0.01368717,0.003249007],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006442569,"about_ca_system_score_gemma":0.01330149,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008353895,"about_ca_topic_score_gemma":0.008334087,"domain_scores_codex":[0.9755047,0.01323859,0.00148342,0.002295378,0.005640368,0.001837594],"domain_scores_gemma":[0.9783125,0.009666721,0.001530795,0.003341654,0.005344931,0.001803399],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000008919507,0.00001348355,0.0001749962,0.00004536997,0.000007747021,0.00003911777,0.0001639495,0.0006960392,0.00001371802,0.9886739,0.004310686,0.005852066],"study_design_scores_gemma":[0.00000996425,0.000009408203,0.00009064453,0.00007171517,0.000004948842,0.00008164581,0.0004972622,0.002467579,0.00003509045,0.9836372,0.01308083,0.00001391331],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"commentary","genre_scores_codex":[0.01326797,0.008182656,0.430418,0.3830444,0.002683116,0.0002308626,0.0005926784,0.001059671,0.1605206],"genre_scores_gemma":[0.6480803,0.008908313,0.254959,0.05218142,0.005502864,0.001334087,0.0009610518,0.0005016783,0.02757114],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.02745615,"threshold_uncertainty_score":0.1452037,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07126233634728872,"score_gpt":0.2963741240238942,"score_spread":0.2251117876766055,"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."}}