{"id":"W4252887862","doi":"10.22215/etd/2019-13433","title":"From Fish Movement to Knowledge Movement: Understanding and Improving Science","year":2019,"lang":"en","type":"dissertation","venue":"","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Biotelemetry; Fisheries management; Fish <Actinopterygii>; Knowledge management; Fishery; Computer science; Environmental resource management; Business; Telemetry; Environmental science; Biology; Telecommunications; Fishing","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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.004748004,0.0005757136,0.0006741417,0.003163874,0.0009093146,0.005633742,0.0007834571,0.001694435,0.005503506],"category_scores_gemma":[0.02428809,0.0002871085,0.0003899821,0.002954934,0.006777996,0.009279689,0.002958394,0.002905885,0.0009163857],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002994877,"about_ca_system_score_gemma":0.008693984,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01920063,"about_ca_topic_score_gemma":0.01603322,"domain_scores_codex":[0.9984868,0.0005144503,0.000113762,0.0003270978,0.0004587212,0.00009913712],"domain_scores_gemma":[0.9843085,0.01071337,0.001488215,0.0007149406,0.002098028,0.0006769173],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00005060575,0.0001073058,0.02001419,0.002776768,0.000100847,0.00004642446,0.002856127,0.002006968,0.0007207019,0.05673366,0.05411445,0.860472],"study_design_scores_gemma":[0.00002359824,0.0001221313,0.05145165,0.006806265,0.000160958,0.0001229489,0.006042609,0.005340762,0.001517912,0.5858528,0.3424472,0.0001112832],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.0431351,0.3086593,0.05831956,0.5115778,0.004230274,0.0001325715,0.001695402,0.0004709674,0.07177893],"genre_scores_gemma":[0.2921833,0.6040492,0.05915708,0.02160213,0.007458093,0.0002140586,0.001393104,0.0001848642,0.01375824],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.995252,"threshold_uncertainty_score":0.03817773,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01502944082901496,"score_gpt":0.2450463577988859,"score_spread":0.2300169169698709,"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."}}