{"id":"W2126541557","doi":"10.1023/b:joms.0000021523.23376.e9","title":"Introducing a Conceptual Information Retrieval (IR) Framework","year":2004,"lang":"en","type":"article","venue":"Journal of Medical Systems","topic":"Information Retrieval and Search Behavior","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Victoria","funders":"Medical Research Council","keywords":"Computer science; Process (computing); Information retrieval; Information system; Health informatics; Data mining; Data science; Programming language","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":[0.006566436,0.001326546,0.001225797,0.005786748,0.001999999,0.01066397,0.003239239,0.003892158,0.009943021],"category_scores_gemma":[0.01643866,0.0009221674,0.002438525,0.007358905,0.00557504,0.01997961,0.004001437,0.003719621,0.003464632],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002396042,"about_ca_system_score_gemma":0.002497351,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003136702,"about_ca_topic_score_gemma":0.001903585,"domain_scores_codex":[0.9945709,0.002638036,0.0005816472,0.00067828,0.001238375,0.0002927195],"domain_scores_gemma":[0.992291,0.004418332,0.0006306341,0.001028422,0.001280242,0.0003513852],"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":[0.000008503843,0.00002195711,0.0001101534,0.0001259696,0.00001067502,0.00004716684,0.000349414,0.0009906334,0.0003904762,0.9830321,0.002047042,0.01286594],"study_design_scores_gemma":[0.00002439047,0.000059244,0.0001846606,0.0001452648,0.00004221459,0.0003882911,0.0003864648,0.02338108,0.0007362569,0.9065791,0.06802236,0.00005072466],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.002549918,0.003670297,0.9683774,0.006309144,0.0003684967,0.0001568679,0.0002544576,0.0004460635,0.01786737],"genre_scores_gemma":[0.1277587,0.004950745,0.8546309,0.001845905,0.001186396,0.0005969241,0.0006574088,0.0001936903,0.008179225],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01066397,"threshold_uncertainty_score":0.03472704,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01701967997497879,"score_gpt":0.2800869194319391,"score_spread":0.2630672394569603,"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."}}