{"id":"W6913171526","doi":"10.5683/sp2/abxp2b","title":"Community House -- Hershel Island -- Laser Scanning -- 2018/19","year":2021,"lang":"en","type":"dataset","venue":"Borealis","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Laser scanning; Scanner; Laser; Whaling","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":[0.0009855579,0.003942526,0.001755549,0.003115882,0.00143761,0.002151123,0.003637834,0.002252099,0.03011481],"category_scores_gemma":[0.002349732,0.0007235736,0.001471303,0.004348582,0.0008120535,0.001418618,0.002626583,0.001658866,0.08624521],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00157478,"about_ca_system_score_gemma":0.002382942,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06384258,"about_ca_topic_score_gemma":0.1918326,"domain_scores_codex":[0.9983978,0.0001602415,0.0001010459,0.000525261,0.0004899866,0.0003256705],"domain_scores_gemma":[0.9987789,0.0001253098,0.00008275161,0.000407734,0.0004486481,0.0001566846],"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":[0.0001023135,0.00005665967,0.001662403,0.0004019267,0.00003657027,0.00006950865,0.00006480679,0.000315949,0.0006039207,0.0002568723,0.9882321,0.008197131],"study_design_scores_gemma":[0.00008107168,0.00003062993,0.01177,0.0002556234,0.00003762145,0.0002439271,0.0002931925,0.001140858,0.001859588,0.0007772627,0.983433,0.00007713563],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001441066,0.0002486381,0.0003849561,0.00009742734,0.0001469429,0.00004294121,0.9919955,0.002592798,0.003049809],"genre_scores_gemma":[0.0007355405,0.00004480296,0.0005393357,0.00002490084,0.00001074751,0.00003720015,0.997551,0.0001403928,0.0009160818],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.9361574,"threshold_uncertainty_score":0.126942,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04145804443370452,"score_gpt":0.2920654851205717,"score_spread":0.2506074406868672,"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."}}